Automatic Diagnosis via Sensors Modeled by Dynamic Fault Trees

2005-01-1442

04/11/2005

Event
SAE 2005 World Congress & Exhibition
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2005-01-1442
Pages
9
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.
Additional Details
Publisher
Published
Apr 11, 2005
Product Code
2005-01-1442
Content Type
Technical Paper
Language
English