A Method for Diagnosis of Large Aircraft Engine Fault Based on Particle Swarm Rough Set Reduction

The large aircraft engine fault diagnosis in the problem of accurate. General components with different, large aircraft engine structure and its complex, the work in higher frequency failure, failure appear in a relatively short time, and it is difficult to retrieval, leading to establish the connection between the fault occurs when the connection breaks. The traditional fault detection method is based on the relationship between the fault information fault mining, once the fault can't reiteration, will lead to mining failure, reduce the detection accuracy. Put forward the particle group of rough intensive Jane's fault diagnosis method, and applied to the plane engine, through fault knowledge acquisition, rules optimization, using the fault prediction method, set up the relevance of fracture. Complete fault recognition. The experimental results show that this method is good for improving fault diagnosis accuracy.