Fault Detection and Isolation in Industrial Systems Based on Spectral Analysis Diagnosis
Fault Detection and Isolation in Industrial Systems Based on Spectral Analysis Diagnosis作者机构：Electrical Engineering Field Faculty of Science and Technology University of Djelfa DZ Djelfa Algeria Faculty of Science and Technology University of Medea Medea Algeria
出 版 物：《Intelligent Control and Automation》 (智能控制与自动化（英文）)
年 卷 期：2013年第4卷第1期
页 面：36-41页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Diagnosis Spectral Analyzes Faults Detection and Isolation Condition Monitoring
摘 要：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.
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