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

• 作者: Ahmed Hafaifa Attia Daoudi Mouloud Guemana
• 来源期刊: 智能控制与自动化(英文)
• 学科: 医学
• 关键词: DIAGNOSIS SPECTRAL Analyzes FAULTS Detection and ISOLATION CONDITION MONITORING
• 年，卷（期）: 2013,（1）
• 页码范围: 36-41
• 页数: 6页
• 分类号: R73

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.