Intelligent faults diagnostics of turbine vibration’s via Fourier transform and neuro-fuzzy systems with wavelets exploitation-Reference-Cited by-同舟云学术

Intelligent faults diagnostics of turbine vibration’s via Fourier transform and neuro-fuzzy systems with wavelets exploitation

Published:2023-11-12 Issue:1 Volume:12 Page:155-184
ISSN:2308-0477
Container-title:Smart Science
language:en
Short-container-title:Smart Science

Author:

Hadroug Nadji¹²,Iratni Abdelhamid³,Hafaifa Ahmed¹⁴^ORCID,Colak Ilhami⁴

Affiliation:

1. Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa, Djelfa, Algeria

2. Gas Turbine Joint Research Team, University of Djelfa, Djelfa, Algeria

3. Department of Electrical Engineering, Faculty of Science and Technology, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, El Anasser, Algeria

4. Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, İstanbul Nisantasi University, İstanbul, Turkey

Publisher

Informa UK Limited

Subject

Computational Mathematics,Computer Networks and Communications,Fluid Flow and Transfer Processes,General Engineering,Energy (miscellaneous),Modeling and Simulation,Chemistry (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/23080477.2023.2281734

Reference50 articles.

1. Role of artificial intelligence in rotor fault diagnosis: a comprehensive review

2. Artificial intelligence based operational strategy development and implementation for vibration reduction of a supercritical steam turbine shaft bearing

3. Unwanted noise and vibration control using finite element analysis and artificial intelligence

4. Artificial intelligence techniques for the vibration, noise, and emission characteristics of a hydrogen-enriched diesel engine

5. Predictive Monitoring of Incipient Faults in Rotating Machinery: A Systematic Review from Data Acquisition to Artificial Intelligence