Rough neural network and its application to gearbox-fault recognition
Gong Ting-ting · Jisuanji gongcheng yu sheji · 2010
To effectively solve the problem of the fault recognition in fault diagnosis, a method of fault recognition by rough neural network through the way of strong coupling is presented. This method reduces attribute-dimension of fault by rough set for preprocessing and obtains rough set rules, with the rough set rules obtained and the BP neural network assembled by a way of strong-coupling for fault recognition. Application in gearbox fault recognition are used to verify this algorithm and the result of simulation, which is compared to that of BP neutral network algorithms, validated the effectiveness of training speed and testing precision by such rough neural network.