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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2014, Vol. 35 ›› Issue (3): 764-772.doi: 10.7527/S1000-6893.2013.0392

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Comprehensive Assessment Method of Aircraft Health Status Based on Fuzzy Gray Clustering and Combination Weighting

CUI Jianguo1, LIN Zeli1, LV Rui2, JIANG Liying1, QI Yiwen1   

  1. 1. School of Automation, Shenyang Aerospace University, Shenyang 110136, China;
    2. Shenyang Aircraft Design Research Institute, Shenyang 110035, China
  • Received:2013-05-21 Revised:2013-09-16 Online:2014-03-25 Published:2013-09-22
  • Supported by:

    Aeronautical Science Foundation of China (2010ZD54012); Ministry Level Project

Abstract:

Considering this difficulty and taking the aircraft hydraulic system as the specific research object, the paper proposes a new method of health status comprehensive assessment based on fuzzy gray clustering with combination weithting. Firstly, use entropy weight method and analytic hierarchy process (AHP) to respectively calculate and determine the related parameters' weights of the key parts of aircraft hydraulic system. Then, to get the subjective and objective sense weight, combine the two weights by the combination weithting method. And then, use gray clustering method to comprehensively assess the health status of each key part of aircraft hydraulic system. According to the above results, firstly, use the clustering coefficient of each key part to create the fuzzy evaluation matrix. Then, according to the matrix, apply entropy weight method and AHP to respectively calculate and determine the weight of each key part, and combine the two weights by combination assigning method. Finally, utilize the fuzzy comprehensive evaluation to accurately assess the health status of aircraft hydraulic system. The method is verified by a practical case of aircraft hydraulic system. The results indicate that the proposed method can get good efficiency of the aircraft hydraulic system health status assessment, and has great value in engineering application.

Key words: aircraft hydraulic system, health status assessment, fuzzy comprehensive evaluation, gray clustering, combination weighting

CLC Number: