Qualitative Faults Diagnosis Algorithm: Theory and Detection

DOI

10.2991/meic-14.2014.254How to use a DOI?

Keywords

qualitative; multi-faults; diagnosis; cause-effect; reasoning ability

Abstract

This paper presents a qualitative theory for faults diagnosis. We extend Reiter's [1] theory to deal with the dynamic and continuous systems and offer a necessary assumption and the corresponding propositions. Then we propose an algorithm of detection of faults and extend it to the multi-faults case. As there is not enough information about multi-faults, multi-faults diagnosis is usually a partially observable problem. The STRIPS [2], a classic technique of automated planning, is chosen to build the system model in which the cause-effect information required to process the diagnosis has been integrated. It provides the reasoning ability for the multi-faults diagnosis when diagnosis is formalized as reasoning from effects to causes with causal knowledge. The advantages are that this approach allows building the model gradually with the information received instead of fully in one time and provides a corresponding diagnostic search strategy that has the powerful reasoning ability.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hexuan Hu
AU  - Haohua Li
AU  - Shiping Huang
AU  - Ye Zhang
PY  - 2014/11
DA  - 2014/11
TI  - Qualitative Faults Diagnosis Algorithm: Theory and Detection
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 1139
EP  - 1143
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.254
DO  - 10.2991/meic-14.2014.254
ID  - Hu2014/11
ER  -