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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?
WHY REMOTE AND CONTINUOUS MONITORING?
Wind turbines fail at least once a year. Bigger ones fail more often.
Wind turbines fail at least once a year. Bigger ones fail more often.
Even catch fire sometimes.
Even catch fire sometimes.
Operation and maintenance cost a lot.
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
Aizenn's Solution
AI-PD1000 (Wind Turbine PD Monitoring System)
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
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
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
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
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
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