Mutation points of vibration signals usually contain much malfunction information. It is a valid method to monitor its vibration signals from the surface for fault diagnosis. Neural-network and linear programming model are combined to form a two-stage system for prediction of vibration signals. An illustrative example shows that this method can accurately diagnose malfunctions of diesel engine and monitor its operational condition. The illustrative example shows if enough samples are used to train the two-stage prediction model, the prediction error of non-stationary vibration signals from diesel engine is acceptable. The method can be used to predict mutation in the vibration signals of a diesel engine. Monitoring the surface vibration signals of the diesel engine can predict its malfunction.


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    Title :

    Monitoring vibration signals of ship diesel engine based on combination of neural-network


    Additional title:

    Monitoring von Schwingungssignalen aus Schiffsdieselmotoren auf der Basis einer Kombination aus neuronalen Netzen


    Contributors:
    Tang, Zhiyin (author) / Yang Guang (author) / He Lin (author)


    Publication date :

    2004


    Size :

    6 Seiten, 2 Bilder, 7 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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