Online fault diagnosis using recursive subspace identification: Application to a dam-gallery open channel system
| Autor: | Eric Duviella, Laurent Bako, A. Akhenak, Stéphane Lecoeuche |
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| Rok vydání: | 2013 |
| Předmět: |
Scheme (programming language)
Engineering business.industry Applied Mathematics System identification Fault (power engineering) GeneralLiterature_MISCELLANEOUS Fault detection and isolation Computer Science Applications Computer Science::Hardware Architecture Identification (information) Control and Systems Engineering Control theory Isolation (database systems) Electrical and Electronic Engineering Invariant (mathematics) business Computer Science::Operating Systems Algorithm computer Computer Science::Distributed Parallel and Cluster Computing Subspace topology computer.programming_language |
| Zdroj: | Control Engineering Practice. 21:797-806 |
| ISSN: | 0967-0661 |
| DOI: | 10.1016/j.conengprac.2013.02.013 |
| Popis: | The paper presents an online strategy for sensor and/or actuator fault detection and isolation applied to a dam-gallery. A recursive subspace identification algorithm is used to estimate the dam-gallery model parameters. The main contribution consists in developing a specific identification scheme, insensitive to a certain type of faults. That is, the identified parameters are invariant to the faults. A fault estimation procedure is proposed to detect potential faults. The proposed approach appears to be suitable for open channel systems for which the characteristics are not easily measurable. |
| Databáze: | OpenAIRE |
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