Decision rule extraction for fault diagnosis by discernibility matrix

DOI

10.2991/icmmcce-15.2015.93How to use a DOI?

Keywords

Decision Table; Fault Diagnosis; Rule Extraction; Discernibility Matrix

Abstract

This article focuses on algorithm to directly and fast finding out the decision rule from decision tables by using rough set theory. The concept of relative rule is put forward and the method for finding absolute reduction decision rule through combining rules of relative decisional requirement sets is given in this paper. Using this concept, the relative discernibility matrix between decision classes can be created to decide the relative decision requirements which are conjoined to find the decision requirements of all the decision classes. The relative decision requirements are extracted by creating relative discernibility matrix, so that scales of computing can be cut down substantially and saving storage space. Theoretical analysis shows that the proved method is feasible. Last, the proposed method is applied in fault diagnosis of reciprocating machines.

Copyright

© 2015, 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  - Mingzhu Lou
PY  - 2015/12
DA  - 2015/12
TI  - Decision rule extraction for fault diagnosis by discernibility matrix
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 462
EP  - 467
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.93
DO  - 10.2991/icmmcce-15.2015.93
ID  - Lou2015/12
ER  -