Intelligent Failure Diagnosis Algorithm Based on Binary Granule Neural Network

摘要

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.