Fault detection and isolation of actuator failures in jet engines using adaptive dynamic programming

Highlights：

• A new kind of data-based fault detection method is proposed, which combines adaptive dynamic programming and multiple-modeling.

• A stable working state is established by using ADP and history data. Once the system runs out of the stable state, it’s known for sure that fault occurs.

• A whole stable working space of the system can be built with the method of multi-modeling and data of all working modes, as long as system states remain in the working space, system is working normally, exclude the disturbance of modes switching, and improve the accuracy of the fault detection algorithm.

• The fault can be isolated, if the direction and magnitude of the deviate vector are solved, which can be achieved by approximation and iteration using the method of ADP.

摘要

•A new kind of data-based fault detection method is proposed, which combines adaptive dynamic programming and multiple-modeling.•A stable working state is established by using ADP and history data. Once the system runs out of the stable state, it’s known for sure that fault occurs.•A whole stable working space of the system can be built with the method of multi-modeling and data of all working modes, as long as system states remain in the working space, system is working normally, exclude the disturbance of modes switching, and improve the accuracy of the fault detection algorithm.•The fault can be isolated, if the direction and magnitude of the deviate vector are solved, which can be achieved by approximation and iteration using the method of ADP.

论文评审过程：Received 20 April 2021, Revised 6 August 2021, Accepted 13 September 2021, Available online 25 September 2021, Version of Record 25 September 2021.