Paper Title:
A Novel Approach of Multiscale Feature Extraction for Gearbox Condition Monitoring
| Periodical | Applied Mechanics and Materials (Volume 160) |
|---|---|
| Main Theme | Advances in Intelligent Structure and Vibration Control |
| Edited by | Aimin Yang and Wenjiang Du |
| Pages | 25-29 |
| DOI | 10.4028/www.scientific.net/AMM.160.25 |
| Citation | Wei Guo Huang et al., 2012, Applied Mechanics and Materials, 160, 25 |
| Online since | March, 2012 |
| Authors | Wei Guo Huang, Zhong Kui Zhu, Cheng Li, Peng Li |
| Keywords | Discrete Wavelet Transform, Fault Diagnosis, Gearbox, Multiscale Feature |
| Price | US$ 28,- |
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Abstract
This paper proposes a novel multiscale slope feature extraction method using wavelet-based multiresolution anlaysis for gearboxes fault identification. The new method mainly includes the discrete wavelet transform (DWT), the variances calculation of multiscale detailed signals, and the wavelet-based multiscale slope features estimation. Experimental results show that the wavelet-based multiscale slope features show excellent clustering for different work conditions and have the merits of high accuracy and stability in classifying different conditions of gearbox.
