Application of Rough Set-Neural Network System in Bearing Fault Diagnosis
Tian Pei Zhou · Applied Mechanics and Materials · 2012
To the shortcomings of neural network in fault diagnosis, such as multiple input dimensions and the huge amount of data, some reductions from data based on rough sets theory are derived and unessential attributes were eliminated, an optimized rough set-neural network intelligent system was established. Through analyzing for instance, the time of fault diagnosis can be reduced by using the system, and a new idea was provided to diagnosis of high reliability equipments.