A hybrid artificial neural network with dempster-shafer theory for automated bearing fault diagnosis

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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Bibliographic Details
Main Authors: Hui, Kar Hoou, Ooi, Ching Sheng, Lim, Meng Hee, Leong, M. Salman
Format: Article
Published: Vibromechanika 2016
Subjects:
TJ Mechanical engineering and machinery
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

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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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