Application of Rough Set Theory in Hydrogenerator Units Fault Diagnosis
Rongrong Wang · Large Electric Machine and Hydraulic Turbine · 2007
In order to improve diagnosis efficiency and compress the many redundant features in hydrogenerator units fault diagnosis,the rough set theory is introduced.The rough set feature reduction method based on the genetic algorithm is proposed and be used to deal with the fault information of hydrogenerator units.The representative samples in hydrogenerator units fault diagnosis are analyzed.The results show that when the fault classification result is almost invariable,the redundant factors can be eliminated efficiency and the main features which is more important to the fault classification can be searched through this algorithm.There search work not only reduces the requirement of diagnosis information,but also improves efficiency of the hydrogenerator units fault diagnosis.