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Erschienen in:
Fault Diagnosis Based on Controller Modification Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Towards Knowledge Compilation for Automated Diagnosis: A Qualitative, Model-Based Approach with Constraint Programming

verfasst von : Antoni Ligęza

Erschienen in: Advanced and Intelligent Computations in Diagnosis and Control

Verlag: Springer International Publishing

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Abstract

The main idea of Consistency-Based Diagnosis rests in generation of diagnostic hypotheses stating which components of the system may be faulty, so that assuming them faulty explains the observations in a consistent way. Such diagnostic process is analyzed from qualitative perspective. Qualitative diagnostic inference, qualitative conflicts and qualitative diagnoses are presented in detail. Finally, we examine how qualitative knowledge can contribute to refinement of diagnostic inference and how compilation of diagnostic knowledge can be approached.

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Vorheriges Kapitel Robust Fault Detection by Means of Echo State Neural Network
Nächstes Kapitel Development of Expert System Shell with Context-Based Reasoning
Fußnoten
1
Of the author and his former Ph.D. student Barłomiej Górny, and some common work with Prof. Jan Maciej Kościelny.
 
2
In Model-Based Diagnosis it is typically assumed that faulty behavior is caused by a fault of a named component or a simultaneous fault of a set of such components; no faults caused by faulty links, parameter setting or the internal structure are considered.
 
3
Recall that we consider only minimal conflict sets and minimal diagnoses. In the other case, conflicts such as \(\{m1(-),m2(-), a1(+) \}\) would also be possible, but removing a single element such as \(m2(-)\) would not lead to regaining consistency.
 
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Kościelny, J.M.: Models in process diagnosis, chap. 2. In: Korbicz, J., Kościelny, J., Kowalczuk, Z., Cholewa, W. (eds.) Fault Diagnosis. Models, Artificial Intelligence, Applications, pp. 29–43. Springer, Berlin (2004)
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Hamscher, W., Console, L., de Kleer, J. (eds.): Readings in Model-Based Diagnosis. Morgan Kaufmann, San Mateo (1992)
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Ligęza, A.: Selected methods of knowledge engineering in system diagnosis, chap. 16. In: Korbicz, J., Kościelny, J., Kowalczuk, Z., Cholewa, W. (eds.) Fault Diagnosis. Models, Artificial Intelligence, Applications, pp. 633–668. Springer, Berlin (2004)
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Fuster-Parra, P.: A model for causal diagnostic reasoning. Extended inference modes and efficiency problems, (Ph.D. Thesis). University of Balearic Islands, Spain, Palma de Mallorca (1996)
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Ligęza, A., Fuster-Parra, P.: And/or/not causal graphs—a model for diagnostic reasoning. Appl. Math. Comput. Sci. 7(1), 185–203 (1997)MATHMathSciNet
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Ligęza, A., Górny, B.: Systematic conflict generation in model-based diagnosis. In: Edelmayer, A.M. (ed.) 4th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, vol. 2, pp. 1103–1108 (2000)
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Górny, B.: Consistency-based reasoning in model-based diagnosis, (Ph.D. thesis). AGH (2001)
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Ligęza, A., Kościelny, J.M.: A new approach to multiple fault diagnosis. Combination of diagnostic matrices, graphs, algebraic and rule-based models. The case of two-layer models. Int. J. Appl. Math. Comput. Sci. 18(4), 465–476 (2008)
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Metadaten
Titel
Towards Knowledge Compilation for Automated Diagnosis: A Qualitative, Model-Based Approach with Constraint Programming
verfasst von
Antoni Ligęza
Copyright-Jahr
2016
Buch
Advanced and Intelligent Computations in Diagnosis and Control

Print ISBN: 978-3-319-23179-2

Electronic ISBN: 978-3-319-23180-8

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-23180-8_26