Samenvatting
The condition of systems, such as production equipment, typically deteriorates over time, increasing the risk of failure and associated unscheduled downtime. Predictive maintenance is a strategy to prevent failure, while maximizing the life cycle of equipment within a system. This paper contributes in this context to the theory of real-time fault diagnosis with an approach that can jointly estimate additive and parametric faults. The proposed fault diagnosis system consists of detection filters which are complemented with a residual evaluator, enabling effective fault isolation and fault estimation for open-loop and closed-loop controlled systems. The effectiveness of this unified approach is illustrated on a mass-spring-damper system.
Originele taal-2 | Engels |
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Pagina's (van-tot) | 304-309 |
Aantal pagina's | 6 |
Tijdschrift | IFAC-PapersOnLine |
Volume | 55 |
Nummer van het tijdschrift | 6 |
DOI's | |
Status | Gepubliceerd - 29 jul. 2022 |
Evenement | 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2022 - Pafos, Cyprus Duur: 8 jun. 2022 → 10 jun. 2022 |
Bibliografische nota
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