Abstract of Description The invention discloses a fault diagnosis method for ship power system based on integrated learning. A number of different weak classifiers are established through the base learning algorithm, and the single type of failure is determined for the test samples, to obtain different prediction results, and form strong classifiers to achieve the purpose of intelligent diagnosis of the main engine failure. Drawings of Description Stat For each status, T base classifiers are generated by integrated learning to form a strong classifier The base learning gorithmisus to learn the training set, and obtain the classifier h Strong Strong Strong classifier classifier •••••• classifier H1I(x) H2(x Hn (x n strong cs ers are used to predict the classification of test samples Voting method Seernine fault


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    Title :

    Fault Diagnosis Method for Ship Power System Based on Integrated Learning


    Contributors:
    JIA BAOZHU (author) / ZHONG GUOQIANG (author) / ZHAO ZHIQIANG (author) / JI RAN (author)

    Publication date :

    2020-09-03


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / B63B Schiffe oder sonstige Wasserfahrzeuge , SHIPS OR OTHER WATERBORNE VESSELS / B63H Schiffsantrieb oder Steuerung der Schiffe , MARINE PROPULSION OR STEERING



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