A health diagnosis method for aeroplane structural component based on fault inference engine

As the health status of aeroplane structural components has direct impact on the flight, it is important to diagnose the health status of structural components timely. In this paper, acoustic emission technology is used to monitor the health status of the aeroplane structural component. The acoustic emission health information from the aeroplane structural component is analyzed and disposed. The fault inference engine that bases on rules and the forward chaining control strategies is designed. The K-means clustering analysis algorithm is used to diagnose the aeroplane structural component health status. Experiments show that the method has good performance to diagnoses the status for aeroplane structural components. It presents a good health diagnosis method for aeroplane structural components, which can also be directly applied to other structural systems in machine equipments.