Energy Analysis Method Based on Wavelet Transform for Sensor Fault Diagnosis

被引：1
作者：
Qian, Pengpeng [1 ]
Liu, Jinguo [1 ]
Zhang, Wei [1 ]
Wei, Yingzi
机构：
[1] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Ctr Space Automat Technol & Syst, Shenyang 110016, Peoples R China
来源：
MECHATRONICS AND INFORMATION TECHNOLOGY, PTS 1 AND 2 | 2012年 / 2-3卷
关键词：
Wavelet Analysis; Sensor Faults; Fault Diagnosis; Energy Analysis; VALIDATION;
D O I：
10.4028/www.scientific.net/AEF.2-3.117
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wavelet analysis with its unique features is very suitable for analyzing non-stationary signal, and it can also be used as an ideal tool for signal processing in fault diagnosis. The characteristics of the faults and the necessary information on the diagnosis can be constructed and extracted respectively by wavelet analysis. Though wavelet analysis is specialized in characteristics extraction, it can not determine the fault type. So this paper has proposed an energy analysis method based on wavelet transform. Experiment results show the method is very effective for sensor fault diagnosis, because it can not only detect the sensor faults, but also determine the fault type.
引用
收藏
页码：117 / 122
页数：6
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