Aviation three-level AC power generator rotary rectifier online fault diagnosis method

Abstract

The invention discloses an aviation three-level AC power generator rotary rectifier online fault diagnosis method based on an optimization extreme learning machine, and belongs to the technical field of power generator state monitoring and fault diagnosis. The method comprises the following steps that 1) an overall simulation model of an aviation three-level AC power generator is established and the fault mode and fault testable points of a rotary rectifier are determined; 2) corresponding voltage or current information under various fault modes is acquired by utilizing the testable points, feature extraction is performed on fault information and normalization processing is performed, and a training sample set and a test sample set are determined; 3) the parameters of a mind evolutionary algorithm, the number of nodes in each layer of the extreme learning machine and an excitation function are set, the extreme learning machine is optimized, the optimal input weight and threshold are outputted, and an extreme learning machine model is established and the model is verified by using the test sample set; and 4) the model passing verification in the step 3) is used for online intelligent fault diagnosis, and a fault signal and feature extraction method is maintained to be consistent with that of step 2).

Description

technical field [0001] The invention relates to an online fault diagnosis method for a rotary rectifier of an aviation three-stage AC generator based on an optimized extreme learning machine, and belongs to the technical field of generator state monitoring and fault diagnosis. Background technique [0002] Due to the long-term complex and harsh environment of aero-generators, high requirements are put forward for their safety and reliability. At present, the aviation three-stage brushless alternator is the core component of the aviation AC main power system, and whether it can work normally directly affects the power supply capability of the aircraft. If the aviation generator fails, it will not only affect its normal operation, but also may cause the entire aircraft system to fail to work normally, and even cause a major aviation accident in severe cases. There are many types of faults in aircraft generators, and the faults are scattered. The electrical faults mainly inclu...

AI Technical Summary

Problems solved by technology

However, there are also certain problems in the extreme learning machine. Since the input weight and hidden layer threshold are randomly given by ELM, its diagnostic accuracy is greatly affected. In practical applications, in order to achieve the ideal accuracy, it is necessary to set a large number of hidden layers. Contains the number of layer nodes, and the increase in the number of hidden layer nodes will increase the complexity of the network

In response to this problem, it has been proposed to use evolutionary algorithms such as genetic algorithm and evolutionary strategy in the optimization of ELM, but evolutionary algorithms still have problems such as premature maturity and slow convergence speed.

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