Fault diagnosis model of boiler based on RS and ANN
Zhang Liu · Jisuanji gongcheng yu sheji · 2008
It is proposed a intelligent fault diagnosis method based on rough set and artificial neural network for boiler.First,this method build a decision table for fault diagnosis to reduce raw data based on rough set,and choose multiple reduces by some rules.Then,neural network are added into the system to construct several subsystem,which take the data pretreated by rough set as inputs and compute the degrees of the fault.The test results show that the method can quantitatively diagnose the faults of every parts of boiler.