农业工程学报2012，Vol.28Issue(22)：58-62,5.DOI:10.3969/j.issn.1002-6819.2012.22.009
变速箱齿轮磨损故障的极坐标角-频表示与诊断
Polar diagram angle-frequency representation and diagnosis for gear wear fault of gearbox
摘要
Abstract
The gearbox gear wear tend to result in impulse response in vibration signals, and monitoring impulse response in the rotation cycle, which can achieve fault diagnosis. In order to improve monitoring and diagnosis effects by the visualization, distribution method of the polar digram angle frequency(DPDAF) was introduced in the study. Gearbox vibration signals were denoised by continuous wavelet transform, and then transformed into DPDAF, which can clearly exhibite the impulse response signal differences with the six rotation cycles in the different wear conditions. Six rotation cycle energy were extracted as the feature vectors of gearbox gear wear fault, which were used to train BP neural network for fault pattern recognition. Test results showed that applying DPDAF and BP neural network to gearbox gear wear fault diagnosis was feasible and effective. The results provide a reference for the engineering applications of the polar angle frequency representation in the gearbox condition monitoring and fault diagnosis.关键词
变速箱/故障诊断/神经网络/极坐标角频分布Key words
transmissions/ fault detection/ neural networks/ angle frequency distribution in polar diagram分类
机械制造引用本文复制引用
贾继德,张玲玲,曾锐利,江红辉,肖云魁,朱忠奎..变速箱齿轮磨损故障的极坐标角-频表示与诊断[J].农业工程学报,2012,28(22):58-62,5.基金项目
国家自然科学基金资助项目(50575063/E051301) （50575063/E051301）
