Robust fault detection of turbofan engines subject to adaptive controllers via a Total Measurable Fault Information Residual (ToMFIR) technique

- This paper provides a new design of robust fault detection for turbofan engines with adaptive controllers.
- To solve this problem, the Total Measurable Fault Information Residual (ToMFIR) technique is adopted to detect faults in turbofan engines with adaptive controllers.
- A bank of systems, each corresponding to a particular fault, is formulated by reorganizing the considered uncertain engine model.
- Each system in the bank is first transformed into two subsystems. Then, a ToMFIR is designed for the disturbance-free subsystem to generate a fault-detection residual.
- In this manner, a bank of ToMFIRs is constructed to detect a specific fault source.

This paper provides a new design of robust fault detection for turbofan engines with adaptive controllers. The critical issue is that the adaptive controllers can depress the faulty effects such that the actual system outputs remain the pre-specified values, making it difficult to detect faults/failures. To solve this problem, a Total Measurable Fault Information Residual (ToMFIR) technique with the aid of system transformation is adopted to detect faults in turbofan engines with adaptive controllers. This design is a ToMFIR-redundancy-based robust fault detection. The ToMFIR is first introduced and existing results are also summarized. The Detailed design process of the ToMFIRs is presented and a turbofan engine model is simulated to verify the effectiveness of the proposed ToMFIR-based fault-detection strategy.