Intelligent Failure Diagnosis Algorithm Based on Binary Granule Neural Network

Authors:
Jun Xie;Feng Li;Keming Xie;Xinying Xu
Affiliations:
The College of Information Engineering, Taiyuan University of Technology, Taiyuan, China 030024;The College of Information Engineering, Taiyuan University of Technology, Taiyuan, China 030024;The College of Information Engineering, Taiyuan University of Technology, Taiyuan, China 030024;The College of Information Engineering, Taiyuan University of Technology, Taiyuan, China 030024
Venue:
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Year:
2009

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Abstract

In granular computing based on rough set, the equivalent relation in rough set theory can be expressed by equivalent granule. In this paper, authors developed binary granule encoding algorithm of decision information system (BGrE-DIS) and core attributes acquisition algorithm under the binary granule expression (CAA-BGrE). Furthermore, a fundamental model of binary granule neural network was established. The proposed binary granule neural network was valuated by a fault diagnosis simulation example given in the end of this paper to prove the validity of the proposed model and rapidity of these proposed algorithms.