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ISSN: 2475-4811 (print)
ISSN: 2475-482X (online)
Journal of Vibration Testing and System Dynamics

C. Steve Suh (editor), Pawel Olejnik (editor),

Xianguo Tuo (editor)

Pawel Olejnik (editor)

Lodz University of Technology, Poland

Email: pawel.olejnik@p.lodz.pl

C. Steve Suh (editor)

Texas A&M University, USA

Email: ssuh@tamu.edu

Xiangguo Tuo (editor)

Sichuan University of Science and Engineering, China

Email: tuoxianguo@suse.edu.cn

Design of an Embedded System for the Predictive Diagnosis of a Gas Turbine based on Vibration Faults

Journal of Vibration Testing and System Dynamics 10(3) (2026) 209--232 | DOI:10.5890/JVTSD.2026.09.001

Saadat Boulanouar, Bakir Hadj ali, Fengal Boualem

Signals, Systems and Artificial Intelligence Laboratory - Electronics Department Faculty of Technology University of Chlef 02000 DZ, Algeria

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Abstract

Currently, the field of industrial monitoring provides a solid set of tools to optimize industry operations. This work proposes a method for predicting excessive vibrations of a gas turbine based on the Kalman filter optimized by fuzzy logic, using monitoring techniques to know their condition. It offers valuable information on the health status of the equipment, provide current performance indices and predict future indices expected by the operation of the equipment. The aim of this work is to develop a prognostic approach and propose modern techniques to best model the degradation of the gas turbine, in order to increase their safety and to deduce future decisions on the operating state of this machine.

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