Gear Fault Detection Based on Teager-Huang Transform
Joint Authors
Li, Hui
Zheng, Haiqi
Tang, Liwei
Source
International Journal of Rotating Machinery
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-05-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Li, Hui& Zheng, Haiqi& Tang, Liwei. 2010. Gear Fault Detection Based on Teager-Huang Transform. International Journal of Rotating Machinery،Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-476656
Modern Language Association (MLA)
Li, Hui…[et al.]. Gear Fault Detection Based on Teager-Huang Transform. International Journal of Rotating Machinery No. 2010 (2010), pp.1-9.
https://search.emarefa.net/detail/BIM-476656
American Medical Association (AMA)
Li, Hui& Zheng, Haiqi& Tang, Liwei. Gear Fault Detection Based on Teager-Huang Transform. International Journal of Rotating Machinery. 2010. Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-476656
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476656