Intelligent Control and Automation

Volume 4, Issue 1 (February 2013)

ISSN Print: 2153-0653   ISSN Online: 2153-0661

Google-based Impact Factor: 0.70  Citations  

Fault Detection and Isolation in Industrial Systems Based on Spectral Analysis Diagnosis

HTML  XML Download Download as PDF (Size: 153KB)  PP. 36-41  
DOI: 10.4236/ica.2013.41006    4,710 Downloads   7,188 Views  Citations

ABSTRACT

The diagnoses in industrial systems represent an important economic objective in process industrial automation area. To guarantee the safety and the continuity in production exploitation and to record the useful events with the feedback experience for the curative maintenance. We propose in this work to examine and illustrate the application ability of the spectral analysis approach, in the area of fault detection and isolation industrial systems. In this work, we use a combined analysis diagram of time-frequency, in order to make this approach exploitable in the proposed supervision strategy with decision making module. The obtained results, show clearly how to guarantee a reliable and sure exploitation in industrial system, thus allowing better performances at the time of its exploitation on the supervision strategy.

Share and Cite:

A. Hafaifa, M. Guemana and A. Daoudi, "Fault Detection and Isolation in Industrial Systems Based on Spectral Analysis Diagnosis," Intelligent Control and Automation, Vol. 4 No. 1, 2013, pp. 36-41. doi: 10.4236/ica.2013.41006.

Cited by

[1] Detection of an imbalance fault by vibration monitoring: case of a screw compressor
2021
[2] A review on fault detection and diagnosis techniques: basics and beyond
2020
[3] Faults detection and localization using fuzzy logic techniques for fault diagnosis applied to the monitoring of the gas turbine's vibration
2020
[4] Adaptive System Identification and Severity Index-based Fault Diagnosis in Motors
2019
[5] Hybrid Approach for Fault Detection and Isolation in Industrial Machines
2018
[6] Using artificial intelligence technique based on neural network in gas turbine monitoring
The 2sd International Conference on Applied Automation and Industrial Diagnostics, 2017
[7] Fault Diagnosis in Gas Turbine Based on Neural Networks: Vibrations Speed Application
Advances in Acoustics and Vibration, 2017
[8] Vibration Detection in Gas Turbine Rotor Using Artificial Neural Network Combined with Continuous Wavelet
Applied Condition Monitoring, 2017
[9] Developpement d'un systeme pronostic pou la modélisation des vibrations d'une turbine à gaz en reduisant les couts de maintenace
Thèses de Doctorat Classique & LMD, 2017
[10] Sujet Surveillance d'une turbine à gaz à base d'un système de prise de décision pour l'étude de sa stabilité: Vibration Monitoring
2016
[11] Surveillance d'une turbine à gaz à base d'un systèm e de prise de décision pour l'étude de sa stabilité: Vibration Monitoring
2016
[12] Modélisation des vibratoires d'une turbine à gaz pour la détermination de modèle de balourd et de désalignement des paliers
2016
[13] Fuzzy logic addresses turbine vibration on Algerian gas line
2016
[14] Vibration analysis and measurement based on defect signal evaluation: Gas turbine investigation
Journal of Advanced Research in Science and Technology, 2016
[15] Neural network monitoring system used for the frequency vibration prediction in gas turbine
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on, 2015
[16] Vibration modeling improves pipeline performance, costs
Oil & Gas Journal, 2015
[17] Détection des défaillances d'une turbine à gaz de type SOLAR à base des techniques d'intelligence artificielle
2015
[18] Gas turbine supervision based on neural networks in degraded mode: Presence of vibrations
2015
[19] Analyse des vibrations dans les turbines à gaz par une approche d'optimisation basée sur un système expert
International Conference on Applied Automation and Industrial Diagnostics, 2015
[20] PENNWELL®
2015
[21] Modelling of surge phenomena in a centrifugal compressor: Experimental analysis for control
Systems Science & Control Engineering: An Open Access Journal just-accepted, 2014
[22] Reliability modeling based on incomplete data: oil pump application
Management Systems in Production Engineering, 2014
[23] Amélioration de l'architecture du système planification des actions de maintenance basée sur une approche fiabiliste
2014
[24] Vibration monitoring in gas turbine speed using artificial neural networks
2014
[25] Fuzzy logic addresses turbine vibration on Algerian gas line Jan. 4, 2016 Traditional techniques for addressing vibration in gas turbines are unable to adapt to …

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.