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《Vehicle & Power Technology》 2006-04
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Fault-feature Detection of Transmission System Based on Simulated Algorithm and Genetic Algorithm

XIAO Cheng-lin,HAN Jian-bao,LUO Xiao-jiang(National Keylab.of Vehicular Transmission,Beijing Institute of Technology,Beijing 100081,China)  
A method for identifying the gear fault of the transmission system is presented,where the simulated annealing algorithm and genetic algorithm are combined in order to prevent the BP network going into the local minimum points during the training work.By using the wavelet energy spectrum of the signal measured from a certain transmission system,the symptom of the gears with damnification is detected.The results show that both the training efficient and the identifying precision are increased obviously.
【Fund】: 武器装备预研基金项目(514571201)
【CateGory Index】: U472.42
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