An intelligent fault diagnosis system for newly assembled transmission

作者：

Highlights：

• We present a fault diagnosis expert system for newly assembled auto transmission.

• Synchronous data acquisition algorithm of the vibration signal and the speed signal.

• Improved FFT algorithm which is used for spectral transformation after a lot of tests.

• Knowledge representation and knowledge renew algorithm for transmission.

• Improved genetic algorithm for feature selection and fault classification with BP network.

摘要

•We present a fault diagnosis expert system for newly assembled auto transmission.•Synchronous data acquisition algorithm of the vibration signal and the speed signal.•Improved FFT algorithm which is used for spectral transformation after a lot of tests.•Knowledge representation and knowledge renew algorithm for transmission.•Improved genetic algorithm for feature selection and fault classification with BP network.

论文关键词：Vibratory signal,Feature extraction,Fault classification,Order spectrum analysis,Genetic search algorithm,BP neural network

论文评审过程：Available online 7 January 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.12.045