A hybrid artificial neural network with dempster-shafer theory for automated bearing fault diagnosis
Bearing fault diagnosis has a pivotal role in condition-based maintenance. Vibration spectra analysis has been proven to be the most efficient method for rotating machinery fault diagnosis. Vibration spectra can be analyzed by various signal processing tools (e.g. wavelet analysis, empirical mode de...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Vibromechanika
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/71318/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027689418&doi=10.21595%2fjve.2016.17024&partnerID=40&md5=dc533e0c5e08eb3c1bafb6c073889320 |
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| Institution: | Universiti Teknologi Malaysia |