Wind Turbine PD Monitoring Solution (AI-PD1000)

  • PD (partial discharge) is one of the most common sources of wind turbine failure

  • Remote and continuous wind turbine PD monitoring is crucial but challenging because of safety issues and its complexity

  • AI-PD1000 is the perfect solution for remote and continuous wind turbine status monitoring that can prevent catastrophic failures and save operation and maintenance costs

WHY REMOTE AND CONTINUOUS MONITORING?

Wind turbines fail at least once a year. Bigger ones fail more often.

Even catch fire sometimes.

Operation and maintenance cost a lot.

Wind turbine operation and maintenance costs

  • The average wind turbine fire costs $4M ~ $7M and more for offshore wind turbines.

  • Wind turbines fail at least once per year on average with larger ones failing more frequently

  • Cumulative operation and maintenance costs of a wind turbine can be 65% - 96% of a turbine's initial investment cost

  • The cost of unscheduled maintenance increases over time as a wind turbine ages

Failure prevention

  • Partial discharge (PD) is one of the most common sources of failure and fire

  • Continuous online PD monitoring is crucial

Photo by Dennis Schroeder, NREL 5529

Continuously checking wind turbine health conditions is challenging

  • Need to check the status when the turbine rotates at its max capacity but climbing to the nacelle on a strong windy day is dangerous (prohibited by safety protocol), particularly for offshore ones

  • Things can go wrong anywhere (turbine motor, AC to DC converter, inverter, and transformer), and monitoring all sub-blocks at the same time is not trivial

Aizenn's Solution

AI-PD1000 (Wind Turbine PD Monitoring System)

Key Features

  • Remote continuous monitoring of abnormal electrical signals in wind turbines

  • Easy to install retrofit

  • Monitor anomalies in the turbine, AC to DC converter, inverter, and transformer all at the same time

  • Instantaneous report of anomalies that can be accessed anytime and anywhere

  • Cost-efficient network configuration utilizing proprietary edge encoding technology

Utilize AI-PD1000 to:

  • Prevent catastrophic failures

  • Reduce operation and maintenance costs

  • Reduce downtime

  • Improve efficiency through right-time maintenance

Non-invasive digital PD sensors

Easy to install and maintain

  • Velcro or clamp style

  • Installation and maintenance without dissembling wire or device

  • Support retrofit installation

  • Compact and space efficient

Excellent Isolation

  • Galvanic isolation (up to 10 MV)

  • Excessive current (ex: lightning current) protection

Digital -- the only PD sensor with digital output

  • 12-bit digital

  • Universal USB connection

  • Flexible wire length options

  • Can easily increase number of channels

  • Resilient to interference

Velcro style

Clamp style

No need to power off the system or disconnect the wire for installation.

Where others see noise, we see patterns.

Phase-resolved PD (PRPD) using just one sensor

Accurate current sensing

Wide bandwidth

  • Sensor bandwidth = 0 Hz (DC) ~ 1 GHz

  • Signal processing bandwidth = 20 Hz ~ 100 MHz

  • Detects both currents generated by wind turbines and PD at the same time

Beyond simple magnitude reading

  • PD counts

  • Detect and analyze phases of PD and turbine currents

  • Phase-resolved PD (PRPD) analysis

  • Historical analysis

  • Peer analysis

Fully integrated remote and continuous monitoring and analysis

Edge data analytics using a palm-size module

-- Small in data size and Abundant in information

Key features

  • Everything in a palm-size box:

    • Digital sensor links (4 default digital PD sensors. Up to 7 sensors)

    • Sensor signal processing

    • Health condition analytics

    • External data links to the cloud or local network

  • Main power and PRPD at the same time using just one sensor

  • Monitor turbine motor, AC-to-DC converter, inverter, and transformer all at the same time

  • Anytime & anywhere access (Cloud database + Web UI)

  • Easy integration into any kind of custom network (local or cloud)

Edge data analytics

  • Continuously sending hundreds of Mbps of raw data to the cloud (or local server) is not efficient -- impractical if possible

  • Aizenn's palm size module locally performs data analytics -- edge data analytics

  • Transmit only the analytics results which are small in data size and abundant in information

Easy and convenient external data link

  • Because of the edge data analytics, the transmit data size is small, enabling simple and cost-effective data link options.

  • Wireless options -- WiFi, Bluetooth, GSM, 5G, etc.

  • Wired options -- Ethernet, USB, etc.

  • Aizenn team supports the customization of data links.

AI-powered diagnostics

Beyond simple magnitude reading

  • PD waveform analysis

  • PD counts

  • Detect and analyze phases of PD and turbine currents

  • PRPD

Intelligent pattern recognition and diagnostics

  • Historical analysis

  • Peer analysis

  • Health diagnostics

  • Monitor turbine motor, AC-to-DC converter, inverter, and transformer all at the same time

Go beyond monitoring