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小波-遗传算法在拖拉机齿轮故障诊断中的应用

作  者:
梁君秋;李伯全;鲁刚
单  位:
江苏大学机械工程学院
关键词:
齿轮箱;小波分析;征兆提取;遗传算法
摘  要:
运用小波变换的多分辨和时频局部化特性,建立故障征兆的初始征兆参数集合。利用遗传算法理论,对初始征兆参数集合进行空间搜索而得到能够反映故障状态模式的最佳征兆参数。在实践中应用在对东风81-A型手扶拖拉机齿轮箱的故障信号进行特征提取,取得了较好的效果。
译  名:
Gear Fault Diagnosis of Tractor Gearbox Based on Wavelet-Genetic Algorithm
作  者:
Liang Junqiu,Libaiquan,Lu Gang(School of mechanical engineering,Jiangsu University,Zhengjiang 212013,China)
关键词:
Gearbox,Wavelet transform,Feature extraction,Genetic algorithm
摘  要:
By using the characters and advantages of wavelet transform with MRA and local time-frequency domain,the feature parameter group which reflecting gear fault features is built.Then,on the basis of the feature group,the best(feature) parameters can be extracted by using the genetic algorithm which is an optimal method and could search the total space of the feature.This method of feature(extraction) was used to collect over the fault signals with the gearbox of type(Dongfeng) 81-A walking tractor,and some satisfactory results were obtained.

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