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Detection of Bearing Faults Using Haar Wavelets Mohammad Hossein KAHAEI Mehdi TORBATIAN Javad POSHTAN Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E89-A No.3 pp.757-763 Publication Date: 2006/03/01 Online ISSN: 1745-1337 DOI: 10.1093/ietfec/e89-a.3.757 Print ISSN: 0916-8508 Type of Manuscript: PAPER Category: Digital Signal Processing Keyword: bearing fault detection, singular points detection, Haar wavelet, Full Text: PDF(650.5KB)>>
Summary: This paper presents a new bearing fault detection algorithm based on analyzing singular points of vibration signals using the Haar wavelet. The proposed Haar Fault Detection (HFD) algorithm is compared with a previously-developed algorithm associated with the Morlet wavelet. We also substitute the Haar wavelet with Daubechies wavelets with larger compact supports and evaluate the results. Simulations carried on real data demonstrate that the HFD algorithm achieves a comparable accuracy while having a lower computational cost. This makes the HFD algorithm an appropriate candidate for fast processing of bearing faults. | ||||||||||
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