Fault Diagnosis Strategy for Complex Systems Based on Multi-Source Heterogeneous Information Under Epistemic Uncertainty
| Autor: | Rongxing Duan, Tao Feng, Yining Zeng, Jiejun He, Shujuan Huang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Decision support system
General Computer Science Computer science Reliability (computer networking) 0211 other engineering and technologies Complex system diagnosis strategy 02 engineering and technology Interval (mathematics) computer.software_genre Fault (power engineering) 0202 electrical engineering electronic engineering information engineering General Materials Science Uncertainty quantification Fault tree analysis 021103 operations research General Engineering Intuitionistic fuzzy linguistic set D-S evidence theory VIKOR algorithm 020201 artificial intelligence & image processing lcsh:Electrical engineering. Electronics. Nuclear engineering Data mining Decision table lcsh:TK1-9971 computer reliability assessment |
| Zdroj: | IEEE Access, Vol 8, Pp 50921-50933 (2020) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2020.2980397 |
| Popis: | Technological innovation in modern systems has significantly improved their performance. However, fault characteristics such as epistemic uncertainty and dynamic failure modes often occur when these systems break down, which greatly raises some new challenges in fault diagnosis. A new fault diagnosis strategy for complex systems is presented based on multi-source heterogeneous information considering epistemic uncertainty in this paper. Specifically, in view of the epistemic uncertainty, the failure distribution parameters of basic events are described with interval numbers and test cost of these events are evaluated using domain experts and intuitionistic fuzzy linguistic set; Aiming at the problem of dynamic failure modes, a dynamic fault tree (DFT) is used to establish the dynamic failure model and is converted into a dynamic evidential network to calculate some reliability parameters; Furthermore, a diagnostic decision table is constructed based on multi-attribute heterogeneous information such as test cost and some reliability results; Finally, a novel fault diagnosis strategy is designed based on distance-based VIKOR algorithm, which can provide some decision support for fault diagnosis and locate the fault as quickly as possible. |
| Databáze: | OpenAIRE |
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