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. 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.
Division of Engineering Technology, Wayne State University, Detroit, MI 48202, USA. Electronic address: wchenc@wayne.edu.
Wen
W
Chen
National Science Foundation, 4201 Wilson Blvd, Arlington, VA 22230, USA.
Fahmida N
FN
Chowdhury
Division of Engineering Technology, Wayne State University, Detroit, MI 48202, USA.
Ana
A
Djuric
Division of Engineering Technology, Wayne State University, Detroit, MI 48202, USA.
Chih-Ping
CP
Yeh
Fault detection; Total Measurable Fault Information Residual; Turbofan engines