计算机应用与软件2016，Vol.33Issue(10)：103-107,171,6.DOI:10.3969/j.issn.1000-386x.2016.10.023
机车牵引电机声音检测与故障诊断系统应用研究
RESEARCH ON LOCOMOTIVE TRACTION MOTOR SOUND DETECTION AND FAULT DIAGNOSIS SYSTEM
王新杰 1董志学 1潘颖辉1
作者信息
- 1. 内蒙古工业大学信息工程学院 内蒙古 呼和浩特 010080
- 折叠
摘要
Abstract
Considering the defect of traction motor failure detection in depot repair shop,in this article we present a fault diagnosis method,which is based on the combination of wavelet packet analysis and BP neural network.Taking type YJ85A traction motor of type HXD3 electric locomotive as the example,we used Android as the embedded development platform,completed the design of a locomotive traction motor sound detection and fault diagnosis system with certain portability,feasibility and practical value.It is a valuable source of reference in determining the traction motor failure for the inspectors,and plays a role of auxiliary diagnosis to some extent.关键词
故障检测/小波包分解/特征提取/神经网络/机车牵引电机Key words
Fault detection/Wavelet packet decomposition/Feature extraction/BP neural network/Locomotive traction motor分类
信息技术与安全科学引用本文复制引用
王新杰,董志学,潘颖辉..机车牵引电机声音检测与故障诊断系统应用研究[J].计算机应用与软件,2016,33(10):103-107,171,6.
