Multi-sensor fusion type fault locating method for gearbox of wind turbine generator

Abstract

The invention provides a multi-sensor fusion type fault locating method for a gearbox of a wind turbine generator. The multi-sensor fusion type fault locating method for the gearbox of the wind turbine generator comprises the seven steps that firstly, application conditions of a fault locating model are determined according to the inner structure of the gearbox and the positions and the number of vibration sensors; secondly, collected vibration signals are analyzed according to an existing fault diagnosis technology, and corresponding fault characteristic values are extracted; thirdly, a relation between a faulty component and a characteristic value set is established according to the parsimonious covering theory; fourthly, the position, the type and the degree of the fault of the gearbox are determined according to a gearbox endoscopy result; fifthly, the influences of different faulty components on vibration signals of multiple detecting points are analyzed, and a vibration attenuation coefficient is obtained; sixthly, fault diagnosis is conducted on obtained data according to the difference between the fault characteristic values and the BP neural network algorithm, and the fault is located to the component of a certain type; seventhly, the attenuation coefficient beta' k of the vibration signals are obtained and analyzed, and the position of the faulty component is determined by working out the smallest error delta with a comparison method, wherein delta=beta' k-beta k.

Description

technical field [0001] The invention relates to a multi-sensor fused gearbox fault location method for a wind turbine, and belongs to the technical field of fault diagnosis of the gearbox of a wind turbine. Background technique [0002] With the development of wind power technology, the capacity of a single unit of wind turbines continues to increase, resulting in an increase in the size of the equipment. Doubly-fed wind turbines are the mainstream wind turbines. The volume of the gearbox increases with the increase of the capacity of the single machine, and the complexity of the internal devices also increases, which leads to the complexity of the vibration signal generated by the fault point and the attenuation of the transmission to the collection point. The magnitude is large, which is not conducive to the monitoring of the gearbox state and the location of the fault. With the increase of the service time of wind turbines, the failure rate of gearboxes has gradually inc...

AI Technical Summary

Problems solved by technology

The gearbox contains multiple components such as gears, shafts, and bearings. The same type of component contains the same fault, so the vibration of a single measuring point is not conducive to the fault location of the same type of component

The fault component far away from the measuring point has a large vibration attenuation and a small fault eigenvalue, while the fault component close to the measuring point has a small vibration attenuation and a large eigenvalue. At the same time, different fault degrees also affect the size of the fault eigenvalue. Therefore, using It is difficult to locate the gearbox fault with a single measuring point information

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