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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Gu, Dong Sik Choi, Byeong Keun Kim, Byeong Su Lee, Jeong Hwan Son, Jong Duk Yang, Bo Suk Widod, Achmad |
| 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. |
| Sponsorship | Manufacturing Engineering Division |
| Starting Page | 579 |
| Ending Page | 583 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780791848524 |
| DOI | 10.1115/MSEC_ICMP2008-72546 |
| e-ISBN | 9780791838366 |
| Volume Number | ASME 2008 International Manufacturing Science and Engineering Conference, Volume 2 |
| Conference Proceedings | ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing |
| Language | English |
| Publisher Date | 2008-10-07 |
| Publisher Place | Evanston, Illinois, USA |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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