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A Comprehensive Framework for Model Based Diagnosis

Mosterman, P.J. and Biswas, G. and Manders E.-J., (1998) A Comprehensive Framework for Model Based Diagnosis. International Workshop on Principles of Diagnosis, Cape Cod, 1998.

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This paper reviews our work on monitoring, prediction, and fault isolation methods for complex dynamic systems affected by abrupt faults. The key to this work has been our ability to model the transient behavior in response to these faults in a qualitative framework, where the predicted transient effects of hypothesized faults are captured in the form of signatures that specify future behavior for the fault with higher order time-derivatives. The dynamic effects of faults are analyzed by a progressive monitoring scheme that avoids direct measurement of second and higher order derivatives from real signal values, which are unreliable when signals are noisy. However, generating qualitative characteristics from real time varying signals is still a challenging problem. More recently, we have been investigating statistical techniques for reliable change detection and labeling in noisy signals. We discuss some of these techniques, and study the tradeoff between speed of detection and sensitivity of analysis. The integrated framework for monitoring, prediction, and fault isolation is being tested on real data generated from an automobile engine test bed.

Item URL in elib:https://elib.dlr.de/3493/
Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=1999,
Title:A Comprehensive Framework for Model Based Diagnosis
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Biswas, G.Vanderbilt University, Nashville, TNUNSPECIFIED
Manders E.-J., Vanderbilt University, Nashville, TNUNSPECIFIED
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 86-94
Keywords:FDI, model based diagnosis, qualitative reasoning, automotive applications, signal processing
Event Title:International Workshop on Principles of Diagnosis, Cape Cod, 1998
Organizer:NASA Ames Research Center and AAAI
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W SY - Technik für Raumfahrtsysteme
DLR - Research area:Space
DLR - Program:W SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (until 2012) > Institut für Robotik und Systemdynamik
Deposited By: DLR-Beauftragter, elib
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 16:29

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