Integrating Model-Based Monitoring and Diagnosis of Complex Dynamic Systems
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Qualitative Reasoning. Pages 1123-1127.
Abstract
We present a new approach to model-based monitoring and diagnosis of dynamic systems. The presented DIAMON algorithm 1 uses hierarchical models to monitor and diagnose dynamic systems. DIAMON is based on the integration of teleological parameter-based monitoring models and repair-oriented device-based diagnosis models. It combines consistencybased diagnosis with model-based monitoring and uses an extension of the QSIM-language for the representation of qualitative system models. Furthermore, DIAMON is able to detect and localize a broad range of non-permanent faults and thus extends traditional diagnosis which exclusively deals with permanent faulty behavior. The operation of DIAMON will be demonstrated on a real-world example in a multiple-faults scenario.
@inproceedings{ijcai1991p165,
title = {Integrating Model-Based Monitoring and Diagnosis of Complex Dynamic Systems},
author = {Lackinger, Franz and Nejdl, Wolfgang},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {1123--1127},
year = {1991},
month = {8},
note = {Qualitative Reasoning},
url = {https://ijcai.org/proceedings/1991/165},
}
TY - CPAPER TI - Integrating Model-Based Monitoring and Diagnosis of Complex Dynamic Systems AU - Lackinger, Franz AU - Nejdl, Wolfgang T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 1123 EP - 1127 UR - https://ijcai.org/proceedings/1991/165 ER -Copied
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