This paper presents a symbiotic evolution-based fuzzy-neural diagnostic system (SE-FNDS) for fault diagnosis of propeller-shaft marine propulsion systems. The SE-FNDS combination of fuzzy modeling, back-propagation training and symbiotic evolution function auto-generates its own optimal fuzzy-neural architecture, a significant advantage over previous time-consuming manual parameter determination. Four hundred samples from a test propeller-shaft system are taken over a range of 100-500rpm, during normal and experimentally induced faulty operation. This database is applied as input/output rule generation and training data for the fuzzy-neural network. Comparison of system construction time and diagnostic accuracy is made by applying the same database to SE-FNDS and four traditional systems. Compared to traditional methods, diagnostic decisions from SE-FNDS show 94.17% agreement with real conditions and less CPU time for system construction. Two nonlinear function approximations are also used to demonstrate the proposed system. The presented design is useful as a core module for more advanced computer-assisted diagnostic systems and for direct application in marine propulsion systems. (All rights reserved Elsevier).


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    Titel :

    A new symbiotic evolution-based fuzzy-neural approach to fault diagnosis of marine propulsion systems


    Beteiligte:
    Kuo, Hsing-Chia (Autor:in) / Chang, Hui-Kuo (Autor:in)


    Erscheinungsdatum :

    2004


    Format / Umfang :

    12 Seiten, 24 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch





    Neural-fuzzy fault diagnosis in a marine propulsion shaft system

    Kuo, H.C. / Wu, L.J. / Chen, J.H. | Tema Archiv | 2002



    Fault detection and diagnosis in propulsion systems - A fault parameter estimation approach

    Duyar, Ahmet / Eldem, Vasfi / Merrill, Walter et al. | AIAA | 1994


    Real-time fault diagnosis for propulsion systems

    Merrill, Walter C. / Guo, Ten-Huei / Delaat, John C. et al. | NTRS | 1991