Adelaide Research & Scholarship
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https://hdl.handle.net/2440/46525
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| Type: | Conference paper |
| Title: | Detection of the Rolling Element Bearing Faults using Optimized Wavelet De-Noising Technique |
| Author: | Al-Raheem, K. Roy, A. Ramachandran, K. Harrison, O. Grainger, S. |
| Citation: | ICSP'06 : 2006 8th International Conference on Signal Processing : proceedings, November 16-20, 2006, Guilin, China / Yuan Baozong, Ruan Qiuqi, Tang Xiaofang (eds.) |
| Publisher: | IEEE Press |
| Publisher Place: | Online |
| Issue Date: | 2006 |
| ISBN: | 0780397363 9780780397378 |
| Conference Name: | International Conference on Signal Processing (8th : 2006 : Beijing, China) |
| Abstract: | Rolling bearing fault detection approach using wavelet de-noising technique based on optimized wavelet-base function derived from the impulse response of the bearing system is proposed. The wavelet parameters are optimized based on maximization kurtosis criteria to ensure large similarity with the impulse generated by incipient bearing fault. |
| Description: | © Copyright 2008 IEEE |
| DOI: | 10.1109/ICOSP.2006.346065 |
| Published version: | http://dx.doi.org/10.1109/icosp.2006.346065 |
| Appears in Collections: | Aurora harvest Mechanical Engineering publications |
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