Incipient wear fault diagnosis using a modified change detection method

被引：8

作者：

Zhou, Yuankai ^{[1
,2
]}

Tang, Xiang ^{[1
]}

Zuo, Xue ^{[1
]}

Zhu, Hua ^{[2
]}

Ma, Chenbo ^{[3
]}

机构：

[1] Jiangsu Univ Sci & Technol, Sch Mech Engn, Zhenjiang 212003, Jiangsu, Peoples R China

[2] China Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Jiangsu, Peoples R China

[3] Nanjing Forestry Univ, Sch Mech & Elect Engn, Nanjing 210037, Jiangsu, Peoples R China

来源：

TRIBOLOGY INTERNATIONAL | 2019年 / 137卷

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Dynamic change; Incipient wear; Wear failure; Change detection method; FAILURE; PREDICTION;

D O I：

10.1016/j.triboint.2019.04.036

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

To recognize the incipient wear of machine parts, the normalization pretreatment and scale independence processing were proposed to improve the conventional method. The frictional vibration signal was analyzed by the improved method to recognize the incipient wear fault. The results show that there are two types of changes in the wear process, i.e., (i) pure dynamic change and (ii) dynamic change accompanied by amplitude change. The analysis on vibration signal and surface topography demonstrates that the former type indicates incipient wear fault, and the latter type indicates wear failure. Preventative maintenance should be carried out as soon as the pure dynamic change is detected. This method makes sense to prevent catastrophic system failure.

引用

页码：164 / 172

页数：9

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