Using MLP‐GABP and SVM with wavelet packet transform‐based feature extraction for fault diagnosis of a centrifugal pump

Author:

Al Tobi Maamar1ORCID,Bevan Geraint2,Wallace Peter2,Harrison David2,Okedu Kenneth Eloghene34ORCID

Affiliation:

1. Mechanical & Industrial Engineering College of Engineering National University of Science and Technology Muscat Oman

2. School of Engineering and Built Environment Glasgow Caledonian University Glasgow UK

3. Electrical and Computer Engineering College of Engineering National University of Science and Technology Muscat Oman

4. Electrical and Electronic Engineering Nisantasi University Istanbul Turkey

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Reference55 articles.

1. Rolling element bearing faults detection, a time domain analysis;Al‐Tubi MAS;Caledonian J Eng,2010

2. Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography;Peng ZK;Mech Syst Sign Process,2004

3. Rolling element bearing faults detection, wavelet de‐noising analysis;Al‐Tobi M;Univ J Mech Eng,2015

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