DocumentCode :
3292066
Title :
Modeling it both ways: hybrid diagnostic modeling and its application to hierarchical system designs
Author :
Gould, Eric
Author_Institution :
DSI Int., Orange, CA, USA
fYear :
2004
fDate :
20-23 Sept. 2004
Firstpage :
576
Lastpage :
582
Abstract :
Hybrid diagnostic modeling (HDM) is an extension of diagnostic dependency modeling that allows the inter-relationships between a system or device´s tests, functions and failure modes to be captured in a single representation (earlier dependency modeling approaches could represent the relationships between tests and either functions or failure modes). With hybrid diagnostic modeling, the same model can be used for early evaluations of a design´s diagnostic capability, creation of hierarchical FMECAs, prediction of diagnostic performance, and generation of actual runtime diagnostics. This paper examines issues associated with the application of HDM to hierarchical systems, including: the types of diagnostic inference used to interpret the relationships between functions and failure modes, the correlation of functional and failure-based reliability data, and diagnostic assessment using hybrid diagnostic models.
Keywords :
automatic testing; failure analysis; fault diagnosis; military computing; military equipment; military systems; system recovery; diagnostic assessment; diagnostic dependency modeling; diagnostic inference; failure mode; failure-based reliability data; functional correlation; hierarchical system design; hybrid diagnostic modeling; Design engineering; Failure analysis; Feedback; Hierarchical systems; Hybrid power systems; Military equipment; Predictive models; Process design; Runtime; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AUTOTESTCON 2004. Proceedings
ISSN :
1088-7725
Print_ISBN :
0-7803-8449-0
Type :
conf
DOI :
10.1109/AUTEST.2004.1436957
Filename :
1436957
Link To Document :
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