Application of Sparse Theory in Turbofan Engine Gas Path Abrupt Fault Diagnosis

Considering the sparsity of parameter variations of gas path abrupt faults in turbofan engines, gas path abrupt fault diagnosis was conducted, utilizing sparse theory based on orthogonal matching tracking algorithm. Specifically, a turbofan engine linear model was established, where the Kalman filter method and the sparse theory were applied respectively to the fault diagnosis of gas path abrupt faults. The simulation results showed that it was the sparse theory that can effectively track and diagnose the fault parameters.