Application of transient acoustic signal and rough sets in compound-fault diagnosis of bearing
Kang Haiying, Guangsheng Liu, Yaoxin He, Zhibin Zhang · 2016
Real vehicle tests for equipment cannot get steady signal, and the traditional vibration test method cannot realize noncontact, without disassembly and spoil the disadvantages of the on-line detection, using the transient acoustic signal is proposed for bearing fault diagnosis.Rough set theory is a new mathematical tool to deal with vagueness and uncertainty knowledge, attribute reduction is an important part of the study of rough sets theory, and calculates the best reduction is a NP hard problem.In order to be able to effectively obtain information system of the reduction, a new reduction algorithm is proposed.The algorithm with the worst Fisher criterion function as heuristic information to improve the efficiency of search, the Max-min ant system (MMAS) conditional attribute reduction, the use of rough set theory to fault diagnosis decision table reduction, form a clear, concise fault diagnosis rules, effectively improve the bearing fault diagnosis accuracy and efficiency.