POLISH ACADEMY of SCIENCES
TECHNICAL SCIENCES
Mechanical Engineering, Control and Informatics
| BULLETIN
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POLISH ACADEMY of SCIENCES TECHNICAL SCIENCES |
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| Volume
54, Issue 1, March 2006
Mechanical Engineering, Control and Informatics |
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| Issue Index | Authors Index | Scope Index | Web Info | |
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| Aims&Scope, Subscription | Editors | Authors' guide | to read PDF files | mirror: http://fluid.ippt.gov.pl/~bulletin/ |
| pp 75 - 88 |
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| Robust fault detection using analytical and soft computing methods |
| J. KORBICZ |
| The paper focuses on the problem of robust fault detection using analytical methods and soft computing. Taking into account the model-based approach to Fault Detection and Isolation (FDI), possible applications of analytical models, and first of all observers with unknown inputs, are considered. The main objective is to show how to employ the bounded-error approach to determine the uncertainty of soft computing models (neural networks and neuro-fuzzy networks). It is shown that based on soft computing models uncertainty defined as a confidence range for the model output, adaptive thresholds can be described. The paper contains a numerical example that illustrates the effectiveness of the proposed approach for increasing the reliability of fault detection. A comprehensive simulation study regarding the DAMADICS benchmark problem is performed in the final part. |
| Keywords: |
| fault detection, robustness, unknown input observer, neural networks, neuro-fuzzy systems, bounded-error approach, model uncertainty |
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| Issue Index | Authors Index | Scope Index | Web Info |
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| Aims&Scope, Subscription | Editors | Authors' guide | to read PDF files |
| Copyright
® Bulletin of the Polish Academy of Sciences: Technical Sciences
6 April 2006, site prepared by KZ |
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