It is significant for a ship to diagnose and forecast the failures of facilities as early as possible. Because equipments in a ship are so many and the running conditions of them are so special, the traditional fault diagnosis methods are no more efficient in practice. Thus a new ship fault diagnosis method applying fuzzy C-mean clustering arithmetic is introduced in this paper. Based on the principle of it, we studied how to diagnose failures of an engine at the early time.


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    Title :

    Application of Fuzzy C-Mean Clustering Arithmetic in Ship Fault Diagnosis


    Contributors:
    Han, Xinjie (author) / Wang, Zuwen (author) / Meng, Xianyao (author) / Meng, Song (author)

    Conference:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Publication date :

    2007-07-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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