Online Supervision of Engineering Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: closed (10 December 2021) | Viewed by 3338
Special Issue Editor
Special Issue Information
Dear Colleagues,
Typically, most fault diagnosis developed in industry are done offline using Failures Modes and Effects Analysis (FMEA) or fault trees when there was sufficient degradation or a breakdown in the plant. However, technological systems have become more complex and safety-critical, the needs for including automated monitoring and diagnosis as part of the intelligent control loop has become critical. The need for process safety under a wide variety of operating conditions essentially requires online supervision including fault detection and isolation (FDI) procedures (model or data-based methods) that can inform intelligent Fault Tolerant and Fault Adaptive control (FTC and FAC). However, process supervision used in industry is essentially based on fixed thresholds of the raw measurements of variables or a material and sensor redundancies. This is insufficient to predict a drift of the process variables and alarm management isolating a faulty component or phenomena.
Widely developed online FDI algorithms in the literature are tested in simulation. The complexity in real application is due of accuracy and robustness of dynamic model, non-stationarity of the process to be monitored, presence of noises, difficulty to collect faulty modes, need of training of operators to a new technology etc. This is why, contrary to industrial control, FDI applications are not yet well developed.
This special issue deals with real (or pilot) innovative industrial applications of online FDI and FTC algorithms. The goal is to exchange the industrial and fundamental latest technological developments in this area. We invite researchers and industrials to contribute their original research or review articles to this special issue.
Prof. Dr. Belkacem Ould-Bouamama
Guest Editor
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Keywords
- supervision
- diagnosis
- fault tolerant control
- data based FDI
- model based FDI
- AI for predictive maintenance
- PHM