Fuzzy Prognosis System for Decision Making to Vibrations Monitoring in Gas Turbine

Author:

Boulanouar Saadat1,Ahmed Hafaifa12,Rachid Belhadef3,Abdellah Kouzou12

Affiliation:

1. Applied Automation and Industrial Diagnostics Laboratory , Faculty of Science and Technology, University of Djelfa 17000 DZ , Algeria

2. Gas Turbine Joint Research Team , University of Djelfa , Djelfa 17000 DZ , Algeria

3. Faculty of Science and Technology , University of Sedik Ben yahia of Jijel , Algeria

Abstract

Abstract This paper proposes a decision making approach based on the development of a fuzzy prognostic system to ensure the vibrations monitoring of a gas turbine based on real time information obtained from different installed sensors. In this approach the case of incomplete obtained data which may occur frequently is taken into account by using an approach of full data reconstitution form incomplete data. The proposed fuzzy prognostic system approach presented in this paper allows the analysis of the data obtained via the vibration indicators of a gas turbine system for the accurate identification of the faults to avoid the performance degradation of such systems. In order to prove the robustness of the proposed approach presented in this paper, several tested has been performed.

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cutter-Oscillator With Single-Degree-Of-Freedom For The Study Of Cutting Vibrations;Strojnícky časopis - Journal of Mechanical Engineering;2024-05-01

2. HSMM multi-observations for prognostics and health management;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2024-03-24

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