Continuous wavelet transform for bearing damage detection in electric motors

被引：13

作者：

Ayaz, Emine ^{[1
]}

Ozturk, Ahmet ^{[2
]}

Seker, Serhat ^{[2
]}

机构：

[1] Istanbul Tech Univ, TR-34469 Istanbul, Turkey

[2] Istanbul Tech Univ, Dept Elect Engn, TR-34469 Istanbul, Turkey

来源：

CIRCUITS AND SYSTEMS FOR SIGNAL PROCESSING , INFORMATION AND COMMUNICATION TECHNOLOGIES, AND POWER SOURCES AND SYSTEMS, VOL 1 AND 2, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/MELCON.2006.1653299

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The purpose of this paper is to extract features from vibration signals measured from induction motors subjected to accelerated bearing fluting aging. The signals taken from accelerometers placed near to process end bearing were first combined using simple sensor fusion method and then spectral analysis and time-scale analysis were performed. Fused vibration signals were decomposed into several scales using continuous wavelet transform analysis and selected scales was further investigated to get detailed information relating to bearing damage features. And also the advantage of the continuous wavelet transform over short time Fourier transform was emphasized in terms of getting the bearing damage between 2-4 kHz.

引用

页码：1130 / 1133

页数：4

共 6 条

[1] THE WAVELET TRANSFORM, TIME-FREQUENCY LOCALIZATION AND SIGNAL ANALYSIS [J].