Extracting accurate time domain features from vibration signals for reliable classification of bearing faults

Identification of localized faults in rolling element bearing (REB) frequently utilizes vibration-based pattern recognition (PR) methods. Time domain (TD) statistical features are often part of the diagnostic models. The extracted statistical values are, however, influenced by the fluctuations prese...

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Bibliographic Details
Main Authors: Tahir, Muhammad Masood, Badshah, Saeed, Hussain, Ayyaz, Khattak, Muhammad Adil
Format: Article
Published: Institute of Advanced Engineering and Science 2018
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Online Access:http://eprints.utm.my/id/eprint/85641/
http://dx.doi.org/10.21833/ijaas.2018.01.021
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