齿轮故障的稀疏编码诊断  

Fault Diagnosis of Gear Via Sparse Representation

作　　者：段腾飞[1] DUAN Teng-fei(School of Mechanical Engineering, Xi'an Shiyou University , Xi'an Shaanxi 710065, China)

机构地区：[1]西安石油大学机械工程学院,陕西西安710065

出　　处：《机械研究与应用》2016年第3期144-145,149,共3页Mechanical Research & Application

基　　金：西安石油大学全日制研究生优秀论文培育项目(编号:2015YP140407)

摘　　要：介绍了机械故障稀疏编码诊断的基本原理,利用振动信号的幅值谱序列建立特征向量,通过齿轮四种故障的振动信号验证了稀疏编码在齿轮故障诊断中的有效性,并且具有较高的诊断准确率。The basic principle of fault diagnosis via sparse representation is introduced in this paper. The feature vector is determined with the amplitude spectrum sequence of vibration signals. It is proved that the fault diagnosis of gear via sparse representation is effective and with higher accuracy through experiments by using gear vibration signal of four fault patterns.

关 键 词：齿轮 故障诊断 稀疏编码 

分 类 号：TH132[机械工程—机械制造及自动化]