A connectionist network is introduced for fault diagnosis of helicopter gearboxes that incorporates knowledge of the gearbox structure and characteristics of the vibration features as its fuzzy weights. Diagnosis is performed by propagating the abnormal features of vibration measurements through this Structure-Based Connectionist Network (SBCN), the outputs of which represent the fault possibility values for individual components of the gearbox. The performance of this network is evaluated by applying it to experimental vibration data from an OH-58A helicopter gearbox. The diagnostic results indicate that the network performance is comparable to those obtained from supervised pattern classification.


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    Title :

    Diagnosis of Helicopter Gearboxes Using Structure-Based Networks


    Contributors:
    V. B. Jammu (author) / K. Danai (author) / D. G. Lewicki (author)

    Publication date :

    1995


    Size :

    14 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Diagnosis of helicopter gearboxes using structure-based networks

    Jammu, Vinay B. / Danai, Kourosh / Lewicki, David G. | NTRS | 1995


    Diagnosis of Helicopter Gearboxes Using Structure-Based Networks

    V. B. Jammu / K. Danai / D. G. Lewicki | NTIS | 1995



    Fuzzy connectionist network for fault diagnosis of helicopter gearboxes

    Jammu, V.B. / Danai, K. / Lewicki, D.G. | Tema Archive | 1995