A wind turbine fault prediction system
CN122919677APending Publication Date: 2026-10-16SHANXI FENGZHONG ENVIRONMENTAL PROTECTION TECH CO LTD
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Patent Information
- Application Number
- CN202410467288.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-18
- Publication Date
- 2026-10-16
AI Technical Summary
Technical Problem
外部环境的变化，使得风力机需要承受不断变化的负载，并不断地改变运行工况，造成强烈的机械应力变化，导致风力机存在严重安全隐患
Benefits of technology
[0037] This invention avoids relying primarily on experience-based periodic manual maintenance for currently installed and operational wind turbines, thereby reducing maintenance costs, maintaining the reliable operation of wind turbines, ensuring real-time monitoring of the operating status of wind turbine generator sets during long-term operation, timely analysis of status parameters, accurate identification of faults or potential hazards, and reasonable arrangement of maintenance plans. This ensures the long-term stable and reliable operation of wind turbines, reduces the cost of wind power generation, and enhances the competitiveness of wind power equipment and products.
✦ Generated by Eureka AI based on patent content.
Abstract
A kind of wind generator fault prediction system, the monitoring system includes: several vibration sensors and several temperature sensors, to detect the vibration condition and temperature condition of bearing in wind generator transmission system;Signal collected by data acquisition unit is sent to data conditioning module, using Matlab-Simulink platform, combined with bench test data to establish virtual mirror wind generator system, realize the collection and processing of vibration condition and temperature condition of bearing in mirror wind generator transmission system;For the bearing vibration data and temperature data in the SCADA system after cleaning and supplement, data processing is carried out using Fisher discriminant sparse coding method.The present application ensures real-time monitoring of operating state during long time operation and use of wind turbine generator, timely analyzes state parameters, accurately judges fault or hidden danger, reasonably arranges maintenance scheme, ensures long-term stable and reliable operation of wind turbine, and reduces the cost of wind power generation.
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