351. Application of Envelop Analysis and Wavelet Transform for Fault Detection in Local Gearboxes Failure
- Author
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Bo Suk Yang, Jong Duk Son, Achmad Widod, Jeong-Hwan Lee, Byeong Keun Choi, Dong Sik Gu, and Byeong Su Kim
- Subjects
Engineering ,Signal processing ,Acoustic emission ,Rolling-element bearing ,business.industry ,Acoustics ,Electronic engineering ,Condition monitoring ,Wavelet transform ,Fault (power engineering) ,business ,Signal ,Fault detection and isolation - Abstract
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.
- Published
- 2008
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