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.

This paper presents the problem of robust design of surge controller in centrifugal compression system using fuzzy techniques. The use of fuzzy techniques in modelling and control has been important to reduce costs and losses of the system. In this paper, based on the fuzzy modelling and control, a new way to establish fuzzy logic controller is proposed. In this paper, the performance of the fuzzy controller has been designed to give a new control technique of surge in centrifugal compression system. The validation results show the effectiveness of the proposed approach in order to achieve desired performance.