Binary Resolution Matrix Based Incremental Attribute Reduction for Fault Diagnosis
Xiao Yu Chen, Wen Liao Du, An Sheng Li, Kun Li, Chun Hua Qian · Key engineering materials · 2016
Rough set theory is a useful tool for attribute reduction of fault diagnosis for rotating machinery, but cannot be efficiently used to sample increased areas. Aiming at the problem of incremental attribute reduction, a novel attribute reduction algorithm was put forward based on the binary resolution matrix for the two updating situations and the algorithm had a low space complex. Finally, with the fault diagnosis experiments of the bearing, the attribute reduction method was proved to be correct.