This paper concentrates on progress made in fault detection using the fuzzy inductive reasoning (FIR) methodology. The so-called envelope approach is presented and compared with previous research efforts published by the same group in SIMULATION in 1989 and 1994. The comparison is achieved simulating faults in a B-747 commercial aircraft, the same example that had been used in the previous publications. The previously used crisp detection has been replaced by a new approach, based on the computation of an acceptability interval for each predicted variable. The paper demonstrates the improved capabilities of the new approach to detect faults earlier and in a more reliable manner.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraft


    Contributors:

    Published in:

    Simulation, San Diego ; 75 , 4 ; 188-198


    Publication date :

    2000


    Size :

    11 Seiten, 21 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Inductive component, inductive device and aircraft

    STEINER GERHARD / KAPOUN FLORIAN / IBANEZ LUDOVIC et al. | European Patent Office | 2023

    Free access

    A fuzzy reasoning-based sequencing of arrival aircraft in the terminal area

    Robinson, III, John / Davis, Thomas / Isaacson, Douglas | AIAA | 1997


    Adaptive Strategy for Commercial Aircraft with OFC Fault

    Xiang, Jiaqi / Zhang, Shijie / Liu, Yishi et al. | IEEE | 2018


    Integrated Strategy for Commercial Aircraft Fault-Tolerant Control

    Liu, Yishi / Ren, Zhang / Cooper, Jonathan E. | AIAA | 2018


    Fault diagnosis expert system for modern commercial aircraft

    Wu, Haiqiao / Liu, Yi / Ding, Yunliang et al. | Emerald Group Publishing | 2004