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Automatic Diagnosis via Sensors Modeled by Dynamic Fault Trees
Technical Paper
2005-01-1442
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper presents a new automated diagnosis methodology which attempts to bridge the gap between reliability at the design phase and diagnosis at the usage phase. The methodology takes advantage of dynamic fault tree qualitative and quantitative data to develop a diagnostic importance measure. The methodology produces a diagnostic decision tree based on the fault tree and on the diagnostic importance measure. To enhance the diagnosis process the presented methodology incorporates evidence from sensors to improve diagnosis.
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Authors
Citation
Assaf, T. and Dugan, J., "Automatic Diagnosis via Sensors Modeled by Dynamic Fault Trees," SAE Technical Paper 2005-01-1442, 2005, https://doi.org/10.4271/2005-01-1442.Also In
Automotive Electronics on CD-ROM from the SAE 2005 World Congress
Number: SP-1980CD; Published: 2005-04-11
Number: SP-1980CD; Published: 2005-04-11
SAE 2005 Transactions Journal of Passenger Cars: Electronic and Electrical Systems
Number: V114-7; Published: 2006-02-01
Number: V114-7; Published: 2006-02-01
References
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