Application of discrete wavelet transform and Zhao-Atlas-Marks transforms in non stationary gear fault diagnosis

被引：20

作者：

Aharamuthu, Krishnakumari ^{[1
]}

Ayyasamy, Elaya Perumal ^{[1
]}

机构：

[1] Anna Univ, Coll Engn, Dept Mech Engn, Madras 600025, Tamil Nadu, India

来源：

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY | 2013年 / 27卷 / 03期

关键词：

DWT; Gear fault; STFT; Time-frequency analysis (TFA); ZAM; VIBRATION; REPRESENTATIONS; SIGNAL;

D O I：

10.1007/s12206-013-0114-y

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Gears are one of the most common mechanisms for transmitting power and motion.Studies on gear teeth contacts have been considered as one of the most complicated applications. Depending on the application, the speed and load conditions of teeth may cause several types of failures on teeth surface which leads to non stationary operating conditions. This paper is attempt to analyze the effectiveness of the new time-frequency distributions called the Zhao-Atlas-Marks (ZAM) distribution to enhance non stationary signal analysis for fault diagnosis in spur gears. Also the performance of ZAM with other methods like short term fourier transform (STFT) and discrete wavelet transform (DWT) is discussed in this paper.

引用

页码：641 / 647

页数：7

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