Based on time series analysis and BP neural networks, a fault diagnosis system is built for ve- hicle transmission gears. By time series analysis and eigenvectors extraction on operation status signals of trans- mission gears, which are taken as inputs for neural network training, the operation status identification and fault diagnosis for transmission gears are realized. In a fault diagnosis on the gears of a real transmission, the system can accurately identify the operation status (running in, worn or fault). The result shows that the system is ef- fective and feasible.

基于边频分析的齿轮故障诊断.caj

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