Kolmogorov Entropy Optimization in the Aeroengine Health Monitoring

Abstract:

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

• Periodical: Advanced Materials Research (Volumes 424-425)
• Pages: 342-346
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.424-425.342
• Online since: January 2012
• Authors: Yong Sheng Shi, Ji Ma, Yun Xue Song
• Keywords: Aeroengine, Health Monitoring, Kolmogorov Entropy, Maximum Likelihood Estimate, Multiple Optimization

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