Array and Export Cable Monitoring for Offshore Wind
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This page explains how to design partial-discharge, dielectric-loss and temperature-rise monitoring for offshore array and export cables, turning raw sensor data into actionable cable health indices. It shows where AFEs, high-resolution ADCs, isolation and industrial Ethernet ICs fit in the chain so that early warnings lead to planned maintenance instead of unplanned export cable failures.
What this page solves
Array and export cables are among the most expensive and difficult-to-repair assets in an offshore wind farm. A single failure can cause weeks or months of reduced production while surveys, vessel campaigns and subsea repair work are scheduled and executed, driving large revenue losses and contract penalties.
Traditional practices rely on periodic offline withstand and partial-discharge tests, plus fault records from protection relays after trips have already occurred. This trip-based approach gives limited visibility into how insulation and joints are aging between tests, and it provides almost no early warning before a severe fault.
This page focuses on how to build an online monitoring layer that continuously evaluates cable health using three complementary measurement chains:
- Partial-discharge activity to reveal local insulation defects and joint issues.
- Dielectric-loss and tanδ trends to capture long-term insulation aging.
- Temperature rise along the route and at joints or terminations to expose thermal stress.
The objective is to turn these measurements into a practical cable health score and graded warnings that allow maintenance and asset teams to plan inspections, derating and repairs before a protection trip or permanent failure occurs. The monitoring system does not replace primary protection; instead, it creates an earlier intervention window and supports condition-based maintenance.
The scope of this page is limited to the electrical monitoring system and the integrated circuit roles behind it: sensor front-ends, low-noise AFEs, high-resolution ADCs, timing, local processing and isolated Ethernet or serial interfaces. Mechanical design, routing, civil works and installation practices are referenced only as boundary conditions and are not covered in detail here.
Cable scope, interfaces & monitoring objectives
The monitoring concepts on this page apply to the high-voltage export and array circuits that carry power from offshore turbines to the onshore grid, not to low-voltage auxiliary wiring inside nacelles or towers. Two main cable families are considered in the design:
- 33/66 kV array cables connecting turbines and strings to offshore collection points or an offshore substation.
- 132–245 kV export cables transmitting power from the offshore substation to an onshore substation or grid connection point.
At system level, the monitoring layer sits between the cable, its joints and terminations on one side, and protection, bay controllers and SCADA on the other. One end of the monitored circuits terminates in offshore switchgear or GIS within the offshore substation, while the other end connects either to individual turbines offshore or to the onshore substation and grid interface equipment.
The monitoring system exchanges data and alarms with several classes of devices and applications:
- Protection relays that receive simple status, warning and alarm signals as additional context when validating trip events and disturbance records.
- Substation IEDs and bay controllers that consume richer measurement sets and time-stamped indicators for local logic and reporting.
- SCADA and asset management systems that use trends, health scores and event histories to plan inspections, derating and refurbishment.
- Dedicated cable monitoring panels that host AFEs, ADCs, processing and industrial communications in a single enclosure.
Across these interfaces, the monitoring objectives are to provide measurable, repeatable indicators of:
- Insulation aging trends, through partial-discharge levels and tanδ measurements correlated with loading and temperature.
- Thermal hotspots in joints and terminations, using local temperature channels or distributed temperature sensing to detect abnormal gradients.
- Thermal margin under realistic operating and environmental conditions, by combining current, ambient conditions and measured cable temperatures to infer how much additional thermal stress the circuits can safely tolerate.
The monitoring layer outputs measurement data, derived indicators and health assessments to upstream protection and control systems. It does not define grid dispatch, microgrid or EMS strategies; those higher-level decisions are handled by separate control platforms that consume the cable health information provided here.
Failure modes and observables map
Array and export cable failures rarely appear out of nowhere. Most serious faults are preceded by a period in which insulation, joints and terminations already show early symptoms: local partial-discharge activity, slowly drifting dielectric-loss values or temperature patterns that no longer match design assumptions. Translating these failure modes into measurable observables is the foundation of a useful monitoring system.
Typical failure mechanisms include bulk insulation aging and water treeing inside XLPE, installation or workmanship defects in joints, sheath damage that allows moisture to penetrate and long-term thermal overload. Each mechanism leaves a distinct signature in electrical or thermal quantities that can be captured by suitable AFEs and high-resolution ADCs if the signal chain is designed with sufficient bandwidth and dynamic range.
Key failure modes and their primary observables can be grouped as follows:
- Insulation aging, water treeing and local partial discharge – typically expressed as high-frequency current pulses or UHF activity captured by HFCTs or sensors, plus phase-resolved discharge patterns that change as defects grow.
- Installation defects in joints and terminations – often concentrated PD at or near joint boxes or terminations, showing higher discharge magnitudes, repetition rates or distinct phase distributions compared with healthy sections.
- Sheath damage and moisture ingress – leading to increased dielectric losses and tanδ values as salt water or moisture alters the electrical properties of the insulation system.
- Long-term overload and poor thermal dissipation – seen as persistent elevation of cable, joint or sheath temperatures, often with hotspots at specific locations relative to load, ambient conditions and installation details.
The monitoring system therefore needs a clear mapping from failure mode to observable quantity:
- Partial-discharge defects are observed as high-frequency current pulses, UHF signals and phase-resolved patterns referenced to the cable voltage waveform.
- Water treeing and dielectric-loss changes are observed through current phase shifts and tanδ values at fundamental or dedicated test frequencies over time.
- Thermal overload and inadequate heat dissipation are captured by distributed temperature sensing along the cable route and by sheath or joint temperature channels that reveal persistent hotspots.
These observables are only useful when the acquisition chain offers enough dynamic range to resolve small perturbations above noise, sufficiently low AFE and ADC noise to support trend analysis, and time alignment between channels so that discharge events and tanδ measurements can be correlated with voltage phase, loading and system events. Later sections refer back to this failure-mode map when specifying AFE bandwidth, ADC resolution and time-synchronisation requirements.
Monitoring architectures & sensor placement
There is no single architecture for array and export cable monitoring. Offshore projects combine several approaches depending on voltage level, risk tolerance, budget and whether the field is new or already in operation. Typical schemes range from substation-end panels that monitor every circuit from the switchgear, through embedded sensors in critical joints, up to distributed temperature sensing along the cable route.
A substation-end PD and tanδ panel places HFCTs and coupling capacitors at the offshore or onshore GIS and routes all channels into a central monitoring cabinet. This arrangement is attractive because power, processing and networking are concentrated in a single location, and no active electronics are required in subsea joints. It is well suited to detecting insulation aging and joint issues at the circuit level, but localisation along a long export cable requires additional methods.
Embedded joint-box sensors focus instrumentation at the most vulnerable points: subsea joints and terminations. Temperature probes and compact PD sensors sit inside the joint or termination enclosure and feed low-noise AFEs, high-resolution ADCs and a low-power MCU. Data is returned via spare fibres, serial links or LPWAN to offshore or onshore equipment. This improves the ability to pinpoint individual problematic joints but raises stringent requirements on energy harvesting, power integrity and long-term reliability in a harsh environment.
A third layer uses fibre-based distributed temperature sensing along the cable route. The DTS unit reconstructs a temperature profile over many kilometres, helping to identify burial issues, localised hotspots and sections where ambient or soil conditions reduce thermal margin. DTS is typically applied to high-value export cables and complements joint-level sensing and substation-end PD and tanδ measurements instead of replacing them.
Regardless of topology, each monitoring scheme reduces to the same signal chain: sensors feeding appropriate AFEs, high-resolution ADCs and local processing, followed by galvanic isolation and industrial communications. Sensors may be concentrated at the substation, distributed in joint boxes or implemented as optical fibres, but the IC roles remain consistent: precision analog front-ends, ADCs, timing and network interfaces.
The monitoring layer exchanges measurements, health indices and event logs with protection relays, substation IEDs and SCADA or cable asset management systems. Protection devices retain authority over tripping decisions and fault clearing, while the monitoring layer supplies early warning and contextual information rather than issuing direct trip commands. This separation keeps responsibilities clear and simplifies qualification against grid codes and protection standards.
AFEs for partial-discharge & dielectric-loss channels
Partial-discharge and dielectric-loss measurements convert subtle insulation phenomena into small high-frequency currents and precision low-frequency phase shifts. HFCTs, shunt resistors and coupling capacitors deliver signals that sit on top of large power-frequency backgrounds and switching transients, so the analog front-end must provide wide bandwidth, low noise and flexible gain without saturating or burying early-warning signatures.
Typical sensor chains start with HFCTs around grounding or screen conductors, low-value shunt resistors in return paths or coupling capacitors connected to cable cores. Partial-discharge channels focus on high-frequency current pulses and UHF activity, whereas dielectric-loss and tanδ channels concentrate on precise relationships between voltage and current at power frequency or dedicated test frequencies. Both require careful management of dynamic range and rejection of out-of-band interference.
The AFE for these channels typically combines:
- Wideband, low-noise amplification using TIAs and low-noise op amps to preserve PD pulse shapes and small tanδ-related currents while maintaining headroom for larger disturbances.
- Selective filtering to suppress 50/60 Hz fundamentals and harmonics on PD channels, provide anti-alias filtering ahead of ADCs and partition PD and tanδ bandwidths cleanly.
- Programmable gain that supports commissioning, low-noise trending and high-disturbance events without frequent reconfiguration or loss of resolution.
ADC selection depends on whether a channel targets PD or dielectric loss:
- PD channels favour higher-bandwidth SAR or wideband ΣΔ ADCs with sufficient sampling rate to resolve pulse amplitude, energy and timing, often across multiple synchronized channels for PRPD and localisation.
- Dielectric-loss channels favour high-resolution ΣΔ ADCs with low-noise conversion and configurable digital filters that achieve precise magnitude and phase measurements at fundamental frequency and selected test tones.
All PD and tanδ channels benefit from multi-channel simultaneous sampling so that discharge pulses, reference voltages and currents share a common time base. Time synchronisation using GPS, IEEE 1588 or TSN-aware interfaces allows correlation between cable ends and between monitoring systems, turning local measurements into fleet-wide diagnostics instead of isolated traces.
The front-end is galvanically isolated from high-voltage equipment using isolated amplifiers or ΣΔ modulators and digital isolators. Downstream, isolated Ethernet PHYs or RS-485 transceivers connect MCUs or FPGAs to protection, IED and SCADA networks. In practice the PD and dielectric-loss AFEs define the achievable diagnostic depth; inadequate bandwidth, noise performance or synchronisation cannot be repaired by later processing.
Temperature-rise & hotspot sensing
Cable lifetime is tightly coupled to operating temperature. For array and export circuits, the objective is not only to observe absolute temperature at a few points but to characterise temperature rise, gradients and how these evolve with load and environment. Hotspots in joints, terminations or specific route sections often appear long before any protection limit is exceeded, creating an opportunity for controlled derating or planned inspection instead of forced outages.
Temperature sensing typically combines sheath-mounted RTDs, NTCs in armour or near insulation and, on critical export cables, embedded fibre for distributed temperature sensing. Sheath RTDs close to joints and landfall sections track surface temperatures, while sensors within joints provide a view of internal hotspots. DTS adds a continuous temperature profile along the cable route, revealing sections with poor burial, unusual seabed conditions or constrained cooling.
The analog front-end for thermal channels usually includes:
- Precision excitation sources that drive RTDs or NTCs with stable currents or voltages, controlling self-heating while covering the required temperature range from cold seabed to maximum load.
- Low-drift differential amplification using instrumentation or differential amplifiers to extract small sensor voltages over long leads, often with 3-wire or 4-wire RTD arrangements to compensate lead resistance.
- Multi-channel multiplexing that scales to multiple sheath and joint sensors while maintaining predictable scan times and acceptable crosstalk.
Thermal channels are commonly digitised with 16–24 bit ΣΔ ADCs that offer low noise, programmable output data rates and deep 50/60 Hz rejection. Effective resolution must be sufficient to resolve fractions of a degree, with long-term offset and gain stability that supports trend analysis over years. For subsea joint boxes and other constrained locations, ADCs often operate in ultra-low-power modes while still meeting noise and rejection requirements.
Once reliable temperature data is available, edge processors combine it with load current, ambient conditions and thermal models to estimate dynamic ampacity and hotspot margin. This allows operators to understand how much additional current a circuit can safely carry under present conditions and how close joints or sections are to their thermal limits. Long-term statistics on time spent above key temperature thresholds also feed into asset life models and maintenance planning.
The focus in this section is strictly on temperatures within the cable system itself: sheath, armour, joints, terminations and distributed temperature along the route. Tower and nacelle environment parameters such as air temperature, humidity or salt fog are handled by separate nacelle and tower environment monitoring topics and are not expanded here.
Power, isolation and Ethernet / field communications
Array and export cable monitoring hardware must operate reliably across offshore lifetimes, often in locations where maintenance is difficult and power is constrained. Station-based cabinets can rely on auxiliary AC/DC supplies, while remote and subsea nodes depend on energy harvesting and local storage. In both cases, power, isolation and communication ICs determine whether monitoring remains available when faults and disturbances are most likely to occur.
Station-mounted systems typically draw from existing 110/220 VAC or 110/220/48 VDC auxiliary supplies. Isolated DC-DC converters create separate rails for AFEs, ADCs, processors and Ethernet devices, sized with holdup time to ride through brief disturbances and with surge protection appropriate for switching and lightning-induced transients. Remote joint-box or route nodes cannot rely on such feeds and instead combine current-transformer energy harvesting with small batteries or supercapacitors so that sensing and communication can continue through current variations and short interruptions.
Isolation and safety are addressed by partitioning the system into high-voltage sensor domains and low-voltage electronics. Isolated DC-DC converters, digital isolators and isolated amplifiers or ΣΔ modulators provide galvanic isolation between the sensor side and MCU or communication side, allowing designs to meet the required creepage, clearance and impulse withstand ratings under IEC and IEEE insulation coordination rules. High CMTI and robust EMC behaviour are essential because discharge events and switching operations produce strong common-mode activity that must not upset measurement accuracy or communication links.
In station cabinets, industrial Ethernet is usually the primary interface towards protection, IED and SCADA systems. Simple deployments use Modbus TCP, while deeper integration relies on IEC 61850 MMS and, where appropriate, GOOSE for low-latency event distribution. Where the substation network is TSN-enabled, monitoring systems can use TSN-capable MACs and switches to benefit from time synchronisation and deterministic forwarding. Remote nodes often connect via RS-485 multi-drop links, LPWAN radios or through existing merging units that aggregate field measurements and expose Ethernet or process bus access to the station network.
IC roles across this layer include isolated DC-DC controllers and modules, digital isolators, isolated amplifiers and ΣΔ modulators, Ethernet PHYs and TSN-capable switch or MAC devices, RS-485 transceivers and low-power LPWAN SoCs. Together they define how the monitoring system is powered, protected and connected, and whether it can deliver high-quality data into station networks and asset management platforms throughout the project lifetime.
Diagnostics, thresholds and event logging
Raw measurements of partial discharge, dielectric loss and temperature become valuable only when they are distilled into clear diagnostic indicators and traceable event histories. The monitoring system therefore derives quantities such as discharge magnitude and repetition rate, tanδ trends and hotspot evolution, then compares them against structured thresholds so that operators understand when to observe, when to plan maintenance and when to act immediately.
For partial discharge, diagnostics focus on apparent charge, repetition rate and phase-resolved patterns. PRPD plots highlight where discharges cluster with respect to the cable voltage waveform and how those clusters move or intensify over time. Dielectric-loss monitoring relies on tanδ values and phase shifts referenced to voltage, evaluated under comparable voltage and loading conditions so that long-term increases, rather than single readings, drive decisions. Thermal diagnostics track maximum sheath and joint temperatures, gradients between points and the location and trend of hotspots along DTS profiles.
Thresholds are typically arranged in several levels such as Warning, Watch and Alarm. Each level can combine absolute limits with changes relative to commissioning baselines, for example by requiring both an absolute tanδ limit and a percentage increase, or by looking at PD repetition rate and discharge magnitude together. Thermal thresholds account for both absolute temperature and the duration spent near design limits. To avoid chattering, implementations use hysteresis and minimum duration criteria so that brief excursions do not generate excessive alarms.
A combined health index aggregates the different indicators into a small number of states, such as Good, Degraded and Critical, or into a numerical score. This index can weight PD, tanδ and thermal metrics according to project priorities, ensuring that simultaneous deterioration in several dimensions is reflected clearly even when individual measurements remain below hard limits. Presenting a single health state per circuit simplifies dashboards and reports while preserving the option to drill down to raw measurements and trends when needed.
Every threshold transition and significant diagnostic event is recorded locally with a time stamp aligned to the system time reference, cable identifier, trigger cause and a snapshot of relevant indicators. Events are stored in a ring buffer so that recent history is preserved even if communications are temporarily unavailable, and are forwarded to SCADA or asset management systems in batches or immediately in the case of severe alarms. Higher level platforms can then correlate events across circuits and over years, while the monitoring device remains responsible for robust local diagnostics and logging at the edge.
Application mini-stories from offshore array/export cable monitoring
These real-world style scenarios illustrate how partial-discharge and thermal monitoring for array/export cables can prevent catastrophic failures, and where analog front-ends, high-resolution ADCs, isolated Ethernet and logging ICs become critical to the outcome.
Case 1 – Export cable joint defect revealed by online partial-discharge trending
An offshore wind farm operates a 220 kV export cable linking an offshore substation to an onshore grid connection point. Several subsea joints are installed along the route, each representing a potential weak spot for insulation defects and water ingress. To avoid relying solely on protection trips and periodic offline tests, the owner equips the export circuit with an online partial-discharge monitoring panel at the GIS bay.
HFCT or coupling capacitors on the GIS terminations feed a wideband, low-noise AFE that conditions nanosecond current impulses into a usable signal for a 24-bit simultaneous-sampling ADC. Sampling is phase-aligned to the grid using GPS or IEEE 1588/TSN time sync, so the server can build PRPD patterns and long-term discharge trends for each phase and joint. The digitised PD data is streamed via galvanically isolated Ethernet PHYs into the substation SCADA and a dedicated cable asset analytics server.
Over several months, one phase shows a slow but persistent increase in apparent charge and repetition rate within a particular phase window. The PRPD cloud becomes denser and more structured, resembling an internal insulation defect signature rather than sporadic corona. Protection relays remain quiet and tanδ measurements stay within limits, but the PD trend clearly moves away from the healthy baseline.
The maintenance team uses this evidence to schedule a targeted outage and open the suspect joint during a planned low-wind window. Inspection confirms a marginal insulation interface and partial moisture ingress that would likely have progressed to a full breakdown under a future switching surge. Corrective work is completed within the planned outage, avoiding a long unplanned export cable outage, heavy repair vessel costs and lost energy revenue.
This scenario depends on low-noise programmable-gain TIAs or instrumentation amplifiers in the PD AFE, high-resolution simultaneous-sampling ADCs, robust isolated delta-sigma modulators, reinforced digital isolators and industrial Ethernet PHYs with accurate time-stamping. RTCs and non-volatile memory keep trend and event data intact across power cycles so the slow drift in PD activity is visible instead of hidden.
Case 2 – DTS thermal profile exposes backfill issues and drives dynamic derating
A new offshore project uses several 132–245 kV export circuits that make landfall through a trench with engineered backfill. A fibre-optic cable is installed alongside each export cable and routed to a distributed temperature sensing (DTS) interrogator in the onshore substation. The DTS system provides a continuous temperature profile along the full cable length, with data forwarded to an energy management system.
During the first high-load season, operators notice that one landfall section runs consistently 5–7 °C hotter than the cable thermal model predicts under the same loading and ambient conditions. Other sections of the same circuit match the model well, pointing to a local backfill or soil thermal-resistance issue rather than a global modelling error. Dynamic ampacity calculations combine DTS temperatures, load current and soil parameters to estimate the true thermal headroom for that segment.
Based on these insights, the EMS applies a lower continuous loading limit to the affected circuit and redistributes export power across healthier routes, while planning a campaign to verify backfill quality in the hotspot region. The cable operates within a safer temperature envelope, reducing long-term insulation ageing and the likelihood of future thermal failures that would require lengthy offshore repairs.
Here the key IC roles include precision current-source and reference ICs for RTD/NTC channels, low-drift ΔΣ ADCs with strong 50/60 Hz rejection, industrial Ethernet PHYs or TSN-capable switches for backhauling DTS data, and PMICs or isolated DC-DC converters that maintain stable operation in harsh temperature and surge environments. Combined with MCU/SoC platforms running dynamic ampacity algorithms and robust RTC plus flash memory, the monitoring system turns temperature profiles into actionable cable ratings.
Design checklist and IC role mapping for array/export cable monitoring
Use this section as a practical checklist when planning array/export cable monitoring and as a guide to the main IC roles involved in partial-discharge, dielectric-loss and temperature-rise measurement chains.
System boundary and monitoring scope
- Are voltage level, circuit length and the number of joints/terminations clearly documented?
- Is it defined which circuits require PD, dielectric-loss and temperature monitoring, and which can rely on simpler schemes?
- Is the boundary to protection relays, IEDs and SCADA/EMS interfaces explicitly captured in the design?
Sensing methods and measurement channels
- Which combinations are selected: online PD, tanδ, sheath current, joint-box temperatures, DTS profiles?
- Is each monitoring method linked to a clear objective: early insulation defect detection, thermal margin tracking, or both?
- Are joint boxes or landfall sections with elevated risk assigned higher sensing density or redundancy?
Bandwidth, dynamic range and synchronisation requirements
- For PD channels, is the analog front-end bandwidth and ADC sampling rate adequate for the expected pulse spectrum?
- Is the ADC resolution and input range sufficient to capture small PD events without clipping large disturbances?
- Do PD and reference channels use simultaneous sampling and a common phase reference for PRPD analysis?
- Is time synchronisation (GPS, PTP/IEEE 1588, TSN) defined to the granularity required for multi-end correlation?
EMC, insulation and isolation design
- Has the switching surge, lightning and GIS environment been translated into surge, CMTI and creepage requirements?
- Are input protectors, filters and surge arresters dimensioned to protect AFEs without masking PD signals?
- Do isolated amplifiers, delta-sigma modulators and digital isolators meet relevant insulation standards and creepage rules?
- Is PCB layout reviewed for separation of high-dv/dt nodes and sensitive low-level PD sensing traces?
Power supply and backup strategy
- Is the primary auxiliary supply (AC/DC or DC/DC) dimensioned for peak load, including Ethernet and storage activity?
- Is hold-up time defined so that critical PD or thermal events are fully logged during supply dips and faults?
- For CT-harvested remote nodes, is cold-start behaviour and available energy per reporting interval evaluated?
- Are battery or supercapacitor health, charge control and replacement intervals covered in the maintenance plan?
Communications and integration with SCADA / EMS
- Which protocols are used: Modbus TCP, IEC 61850 MMS/GOOSE, DNP3, proprietary or TSN-based Ethernet?
- Are latency and bandwidth budgets consistent with PRPD data, trend logs and firmware update requirements?
- Is cyber security addressed through secure boot, authenticated access and encrypted control or data channels?
- Are naming conventions, asset IDs and data models aligned with the existing SCADA and asset management systems?
Local maintenance, firmware upgrade and observability
- Is there a defined path for firmware updates: local serial, web UI, secure Ethernet, or OTA for remote nodes?
- Can maintenance staff view alarms, PD trends and temperature profiles locally without full SCADA access?
- Are RTC, non-volatile memory size and write endurance adequate for the expected event logging regime?
- Are diagnostic counters (self-tests, watchdog status, communication errors) available for troubleshooting?
Core IC roles in array/export cable monitoring
The following IC roles appear repeatedly across PD, dielectric-loss and temperature channels. Each role can be realised with devices from multiple vendors depending on preferred ecosystem and qualification needs.
- Low-noise programmable-gain amplifiers / TIAs: Condition HF current and voltage signals from HFCTs and coupling capacitors while preserving bandwidth and pulse integrity.
- 16–24 bit ΣΔ / SAR ADCs with simultaneous sampling: Digitise PD, reference voltage and sheath-current channels with enough resolution and sync for PRPD analysis.
- Isolated amplifiers and delta-sigma modulators: Provide high-CMTI isolation between HV sensor domains and low-voltage processing domains.
- Precision current-source and reference ICs: Excite RTDs, NTCs and other temperature sensors with low drift for accurate thermal profiling.
- MCU / SoC / FPGA devices: Aggregate samples, extract PD and dielectric-loss features, run dynamic ampacity models and implement communication stacks.
- Isolated Ethernet PHYs, TSN-capable switches and RS-485 transceivers: Move data from cabinets and remote nodes into substation networks with deterministic timing when needed.
- PMICs, isolated DC-DC converters and battery chargers: Generate stable rails and manage backup energy from auxiliary supplies or CT-harvested power.
- RTC and non-volatile memory: Time-stamp events accurately and retain logs across outages and power cycling.
Example IC families by major vendors (non-exhaustive)
The table below maps the functional roles above to representative device families from seven major semiconductor vendors. These are examples for orientation rather than an exhaustive or prescriptive list.
| Role | Texas Instruments | Analog Devices | STMicroelectronics | Infineon | NXP | Renesas | Microchip |
|---|---|---|---|---|---|---|---|
| Low-noise PGA / TIA for PD AFEs | INA828, OPA847 | AD8429, AD8428 | TSZ121, TIA600 | XENSIV TLI4971 (current sensing front-end) | NPN low-noise gain stages around NE/SN-series op amps | ISL28214, ISL28634 | MCP6N16, MCP6V51 |
| 24-bit simultaneous-sampling ADC | ADS131E08, ADS127L18 | AD7768, AD7768-4 | STPMS2 (metering front-end) | XMC4000 ADC plus external ΣΔ bridges | LPC546xx with external ΣΔ ADCs | ISL26104, RL78/I1B, RA2A2 with SDADC | MCP3911, MCP356x family |
| Isolated amplifiers / delta-sigma modulators | AMC1304, AMC131M03, ISO224 | AD7403, ADuM7703, ADuM540x | STISO621, STGAP1S (isolation for high dv/dt nodes) | EiceDRIVER 1ED-series with shunt or sensor inputs | Galvanic isolation via MC34x isolator families | ISL28022 + digital isolators in HIP/ISL families | MCP39F5 with transformer/CT isolation |
| Precision current sources / references for RTD/NTC | REF200, REF50xx, XTR105 (sensor excitation) | ADR45xx, LT6658, LT3092 | STREF02, TSX56x plus simple current-source networks | TLV431-compatible references and dedicated sensor drivers | LM4040, TLVH431 and sensor-reference combinations | ISL21090, ISL21070 precision references | MCP1501, MCP1541 references |
| MCU / SoC / FPGA for feature extraction and comms | Sitara AM243x, C2000, MSPM0 for AFE control | MAX32670, low-power Cortex-M families | STM32H7, STM32G4 with integrated Ethernet/ADC | XMC4800 (EtherCAT and industrial Ethernet) | i.MX RT1180 (TSN switch + MCU), LPC55Sxx | RX21A / RA2A2 / RA4T1 for metering and sensing | PIC32MZ, SAM E5x/E7x with Ethernet MAC |
| Isolated Ethernet PHY / TSN switch / RS-485 | DP83869HM, DP83822H, THVD14xx RS-485 | ADIN1300/ADIN1200, ADM3065E RS-485 | STM32 MCUs with RMII + external industrial PHYs | XMC4x00 plus external industrial PHY and RS-485 transceivers | TJA1103/TJA1120 Ethernet PHYs, LS104x/LS102x TSN switches | RS-485/422 transceivers in ISL32xx families | LAN8840 Gigabit PHY, KSZ9xxx TSN Ethernet switches, MCP256xx for CAN |
| PMIC / isolated DC-DC / battery charger | LM5160, LM5180, TPS7A47, BQ24610 chargers | ADP1074 flyback, LTC3851, LTC3891 controllers | L6983 synchronous buck, VIPerPlus flyback | ICE5BR-series flyback, IFX1763 LDO, TLF35584 PMIC | VR5510/MC34VR5x PMICs for multi-rail systems | ISL8117 buck, ISL85403, battery gauges and chargers in ISL families | MCP16331, MCP1642, MIC468x and battery chargers such as MCP73831 |
| RTC and non-volatile memory for event logging | BQ32002 RTC, 24Cxx I²C EEPROM families | MAX31341B RTC, SPI/I²C EEPROM and FRAM families | M41Txx RTCs, M95xx serial EEPROMs | XMC peripherals plus external serial flash/EEPROM | PCF85xx RTCs, I²C EEPROMs | RA/RX on-chip RTC with external serial EEPROM/flash | MCP7940 RTC, 25xx/24xx serial EEPROM and SPI flash |
FAQs on array/export cable partial-discharge, dielectric-loss and thermal monitoring
This FAQ collects practical questions engineers often ask when deciding whether to deploy online monitoring on array and export cables, how to architect AFEs and sampling chains, and how to integrate diagnostics into substation protection and SCADA environments.