Kolmogorov entropy theory was introduced into this paper for time series of one-parameter maximum likelihood estimation of the entropy K, combined with practical applications to aeroengine health monitoring. K entropy value was used to describe the disorder degree of aeroengine parts performance parameters, analyzing the health status and evolutive trend of aeroengine components. Optimization base on K entropy was used to analyze muli-parameter time series trend of K entropy, according to preferred status indicator changes analyzes the overall health of aeroengine. Experimental demonstration on the actual flight data can be more accurately reflected the health of aeroengine, have some significance to fault diagnosis and repair of aeroengine


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    Title :

    Kolmogorov Entropy Optimization in the Aeroengine Health Monitoring


    Contributors:
    Shi, Yong-Sheng (author) / Ma, Ji (author) / Song, Yun-Xue (author)


    Publication date :

    2012


    Size :

    5 Seiten




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English






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