On-Line Fault Diagnosis Using Dynamic Fault Tree
碩士 === 國立成功大學 === 化學工程學系 === 89 === By incorporating SDG, FTA and fuzzy inference techniques, a novel framework for fault diagnosis is developed in this study. To relieve the on-line computation load, the scope of diagnosis is limited to the fault origins leading to the top event of given fault tree...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2001
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| Online Access: | http://ndltd.ncl.edu.tw/handle/10060948360341217065 |
| Summary: | 碩士 === 國立成功大學 === 化學工程學系 === 89 === By incorporating SDG, FTA and fuzzy inference techniques, a novel framework for fault diagnosis is developed in this study. To relieve the on-line computation load, the scope of diagnosis is limited to the fault origins leading to the top event of given fault trees. The corresponding fault propagation patterns are derived from SDG model and precedence order of symptoms are then encoded in the inference system with fuzzy rules. The simulation results show that the proposed approach is not only effective but also capable of identifying the most likely cause of a hazardous event at the earliest possible time.
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