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Application of Envelop Analysis and Wavelet Transform for Fault Detection in Local Gearboxes Failure

[+] Author Affiliations
Dong Sik Gu, Byeong Keun Choi, Byeong Su Kim, Jeong Hwan Lee

Gyeongsang National University, Gyeongnam, South Korea

Jong Duk Son, Bo Suk Yang

Pukyong National University, Gyeongnam, South Korea

Achmad Widod

Diponegoro University, Semarang, Jawa Tengah, Indonesia

Paper No. MSEC_ICMP2008-72546, pp. 579-583; 5 pages
  • ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing
  • ASME 2008 International Manufacturing Science and Engineering Conference, Volume 2
  • Evanston, Illinois, USA, October 7–10, 2008
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-4852-4 | eISBN: 978-0-7918-3836-6
  • Copyright © 2008 by ASME


Vibration analysis is widely used in machinery diagnosis and the wavelet transform has also been implemented in many applications in the condition monitoring of machinery. In contrast to previous applications, this paper examines whether acoustic signal can be used effectively along vibration signal to detect the various local fault, in local fault of gearboxes using the wavelet transform. Moreover, envelop analysis is well known as useful tool for the detection of rolling element bearing fault. In this paper, acoustic emission (AE) sensor is employed to detect gearbox damage by installing them around bearing housing at driven-end side. Signal processing is conducted by wavelet transform and enveloping to detect the fault all at once gearbox and bearing using AE signal. Result of fault detection is presented using some general statistical features and a proposed new feature (RGF: Ratio of Gear Frequency) for gear fault calculated from AE signal with different condition.

Copyright © 2008 by ASME



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