DocumentCode
2818948
Title
Research on order tracking and Teager-Huang transform based gear crack fault diagnosis
Author
Ai, Shufeng
Author_Institution
Dept. of Commun. Technol., Zhejiang Univ. of Media & Commun., Hangzhou, China
fYear
2011
fDate
15-17 July 2011
Firstpage
6041
Lastpage
6044
Abstract
The order tracking technique and Teager-Huang transform (THT) approach are presented and applied effectively to gearbox fault diagnosis during run-up. This new approach is based on order tracking and Teager-Huang transform technique. The angle domain stationary signal is first obtained by resampling of the vibration signal that has been sampled in the time domain. Then the angle domain signal is decomposed in intrinsic oscillation modes, using Empirical Mode Decomposition (EMD). Thirdly, the Teager Kaiser Energy Operator (TKEO) technique is applied to each intrinsic mode function (IMF). The TKEO can track the modulation energy and estimate the instantaneous amplitude and instantaneous frequency. In the end, the time-frequency distribution can be obtained. Therefore, the character of the gear faults can be recognized according to the time-frequency distribution. The experimental results show that order tracking and Teager-Huang transform can effectively diagnose the faults of gear crack.
Keywords
fault diagnosis; gears; signal processing; transforms; vibration control; EMD; TKEO technique; Teager Kaiser energy operator; Teager-Huang transform; empirical mode decomposition; gear crack; gearbox fault diagnosis; intrinsic mode function; order tracking; vibration signal; Fault diagnosis; Gears; Mechanical systems; Signal processing; Time frequency analysis; Transforms; Vibrations; Empirical mode decomposition; Faults diagnosis; Gear; Order tracking; Signal processing; Teager-Huang transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5988414
Filename
5988414
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