Fault diagnosis in fluid power systems

S. Daley, H. Wang

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Algorithms for fault detection and isolation (FDI) based on the use of mathematical models are becoming a powerful addition to many fluid power control systems. Many useful methods have been proposed but the great majority of these are based on the use of linear models. Due to the fact that most practical systems display some nonlinear behavior, methods that make use of nonlinear representations are being sought. In this paper, a brief review of FDI methods that have been applied to fluid power systems is given which is followed by a case study of one approach. The method presented makes use of the nonlinear representation capabilities of neural networks and is demonstrated through its application to a simulated electro-hydraulic rotary drive system.
    Original languageEnglish
    Pages (from-to)993-1008
    Number of pages15
    JournalEngineering Simulation
    Volume13
    Issue number6
    Publication statusPublished - 1996

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