Gas-path component fault diagnosis based on gray relational analysis for aero-engine

In order to improve the accuracy of aero-engine component fault diagnosis ability,a method of two layers fault diagnosis based on gray relational analysis was proposed.Particle swarm optimization(PSO) was introduced to optimize gray relational weighted index under various degradation to build standard fault pattern module which was used to diagnose as the first layer.Then two most possible fault patterns were selected for further diagnosis as the second layer based on gray slope relational analysis.Simulation showes that the method proposed is more simple and with less calculation compared to the single layer diagnosis,while the method has better accuracy than two layers fault diagnosis based on experiential gray relational analysis.