Model-based fault diagnosis and prognosis of dynamic systems: a review
Paper
Paper/Presentation Title | Model-based fault diagnosis and prognosis of dynamic systems: a review |
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Presentation Type | Paper |
Authors | Ekanayake, Thushara, Dewasurendra, Devapriya, Abeyratne, Sunil, Ma, Lin and Yarlagadda, Prasad |
Journal or Proceedings Title | Procedia Manufacturing |
Journal Citation | 30, pp. 435-442 |
Number of Pages | 8 |
Year | 2019 |
Publisher | Elsevier |
ISSN | 2351-9789 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.promfg.2019.02.060 |
Web Address (URL) of Paper | https://www.sciencedirect.com/science/article/pii/S2351978919300903 |
Web Address (URL) of Conference Proceedings | https://www.sciencedirect.com/journal/procedia-manufacturing/vol/30/suppl/C |
Conference/Event | 14th Global Congress on Manufacturing and Management (GCMM 2018) |
Event Details | 14th Global Congress on Manufacturing and Management (GCMM 2018) Parent Global Congress on Manufacturing & Management (GCMM) Delivery In person Event Date 05 to end of 07 Dec 2018 Event Location Brisbane, Australia Event Web Address (URL) |
Abstract | In maintenance of engineering systems, condition monitoring, fault diagnosis and fault prognosis constitute some of the principal tasks. With the increase of the number of machines within processing plants and their operational complexities, many engineers and researchers have started looking for automated solutions for these tasks. In most of the proposed solutions, these dynamic systems are modelled using tools like automata, Petri nets, bond graphs and Bayesian networks to diagnose and predict faults in those systems. This paper reviews these graphical model-based techniques related to fault diagnosis and prognosis and give suggestions for future research directions identifying research gaps in the field. |
Keywords | model-based systems; fault diagnosis; fault prognosis; automata; Petri nets; bond graphs; Bayesian networks |
ANZSRC Field of Research 2020 | 4014. Manufacturing engineering |
Series | Procedia Manufacturing |
Byline Affiliations | Uva Wellassa University of Sri Lanka, Sri Lanka |
University of Peradeniya, Sri Lanka | |
Queensland University of Technology |
https://research.usq.edu.au/item/y1812/model-based-fault-diagnosis-and-prognosis-of-dynamic-systems-a-review
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