Description: 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.
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基于经验模式分解_EMD_的齿轮箱齿轮故障诊断技术研究.caj
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