Study on neural network based on variable precision rough set for fault diagnosis
Chuanchao Zhang · Jisuanji gongcheng yu sheji · 2008
For dealing with the fault information system of aero-engine,a combination model of variable precision rough set and neural network for fault diagnosis is given.The upper(lower) distribution reduction theory is used to reduce the unnecessary factors in target information system.BP network is used to build diagnosis model by choosing the mainly influential factors of aero-engine state,then it is trained and tested.The experiment shows that the model has certain practicability,so an effective judgment method is provided for the aero-engine fault diagnosis.