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International Journal of Rotating Machinery
Volume 2010 (2010), Article ID 502064, 9 pages
Research Article

Gear Fault Detection Based on Teager-Huang Transform

1Department of Electromechanical Engineering, Shijiazhuang Institute of Railway Technology, Shijiazhuang 050041, China
2First Department, Shijiazhuang Mechanical Engineering College, Shijiazhuang 050003, China

Received 17 August 2009; Accepted 12 February 2010

Academic Editor: Jerzy Sawicki

Copyright © 2010 Hui Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Gear fault detection based on Empirical Mode Decomposition (EMD) and Teager Kaiser Energy Operator (TKEO) technique is presented. This novel method is named as Teager-Huang transform (THT). EMD can adaptively decompose the vibration signal into a series of zero mean Intrinsic Mode Functions (IMFs). TKEO can track the instantaneous amplitude and instantaneous frequency of the Intrinsic Mode Functions at any instant. The experimental results provide effective evidence that Teager-Huang transform has better resolution than that of Hilbert-Huang transform. The Teager-Huang transform can effectively diagnose the fault of the gear, thus providing a viable processing tool for gearbox defect detection and diagnosis.