Fault detection method and system for wind driven generator

Abstract

The invention discloses fault detection method and system for a wind driven generator. The method comprises the following steps that a blade video of the wind driven generator in operation is collected from the front side at a preset frequency; the wave vibration waveform of each blade of the wind driven generator in the rotating plane is obtained through the blade video; and the wave vibration waveforms of all blades are compared, whether vibration difference exists or not is judged, if the vibration difference exists, whether the blades of the wind driven generator have faults is judged, andif the vibration difference does not exist, whether the blade of the wind driven generator is in good condition is judged. According to the method, the wave vibration waveform of each blade in the rotating plane is obtained through the collection of the blade front side video of the wind power generator in operation, and whether the wind power generator has a fault or not is judged through single-machine blade comparison; the non-contact type measurement is achieved, the structure and operation of the wind driven generator are not influenced, the cost is lower, the application is simple, andthe detection can cover all the blades, being sufficient and comprehensive.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a fault detection method and system for a wind power generator. Background technique [0002] As a new type of clean energy, wind energy has great potential for development under the background of increasingly tense energy sources and environmental protection. Moreover, the means of using wind energy for power generation is becoming more and more mature, and many wind farms have been built. However, due to the special geographical location requirements for the use of wind energy, most wind farms need to be built in locations with harsh environments, even high mountains and seas. Therefore, there are certain obstacles to the maintenance and repair of wind farms. [0003] Existing fault detection of wind power generators needs to invest a lot of manpower and material resources. Among them, the blades of wind turbines, as the core components of wind energy harvesting,...

AI Technical Summary

Problems solved by technology

Generally, the blades of wind turbines are large in size, and the processing process needs to be formed by two-petal templates or integrated molding, and the main girder and web need to be set inside for support, so the bonding of various parts is also required. Therefore, in the process of on-site fault detection, it is necessary to detect external defects through telescope observation, U-shaped hanging basket suspension, or manually drill into the blade to detect internal main beam and web faults of the blade. The operation is very inconvenient and the human workload is large; in addition, In the existing technology, the blade motion information is collected by pasting strain gauges or installing vibration sensors inside each blade. Since the wind power blades are not only rotating with the wind wheel but also rotating with the pitch during operation, the power supply system and signal transmission system are complicated. Leading to increased installation and maintenance costs and threats to wind turbine operation

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