Diagnosing Multiple Persistent and Intermittent Faults
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 733-737.
Abstract
Almost all approaches to model-based diagnosis presume that the system being diagnosed behaves non-intermittently and analyze behavior over a small number (often only one) of time instants. In this paper we show how existing approaches to model-based diagnosis can be extended to diagnose intermittent failures as they manifest themselves over time. In addition, we show where to insert probe points to best distinguish among the intermittent faults those that best explain the symptoms and isolate the fault in minimum expected cost.Johan de Kleer
@inproceedings{ijcai2009p127,
title = {Diagnosing Multiple Persistent and Intermittent Faults},
author = {de Kleer, Johan},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {733--737},
year = {2009},
url = {https://ijcai.org/proceedings/2009/127},
}
TY - CPAPER TI - Diagnosing Multiple Persistent and Intermittent Faults AU - de Kleer, Johan T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 733 EP - 737 UR - https://ijcai.org/proceedings/2009/127 ER -Copied
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