Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Decision rule extraction for fault diagnosis by discernibility matrix

Authors
Mingzhu Lou
Corresponding Author
Mingzhu Lou
Available Online December 2015.
DOI
https://doi.org/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.
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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
DOI
https://doi.org/10.2991/icmmcce-15.2015.93How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Mingzhu Lou
PY  - 2015/12
DA  - 2015/12
TI  - Decision rule extraction for fault diagnosis by discernibility matrix
BT  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icmmcce-15.2015.93
DO  - https://doi.org/10.2991/icmmcce-15.2015.93
ID  - Lou2015/12
ER  -