航空公司机队可靠性状态识别方法

doi:10.7527/S1000-6893.2013.0550

Abstract

Abstract:

Air flight fleet is the central part of the transportation ability of an airline,and its status of reliability affects the economic benefits directly. According to the analysis of routine data statistics, acquisition data modes, data management of the reliability of the airline fleet, this paper studies the project of maintenance reliability and daily running status monitoring of fleet operation, seven indicators of airline fleet reliability are set up by the Delphi method, including service difficulty report (SDR), availability of fleet, rate of nonscheduled down,aircraft utilization ratio, abnormal thousand-time rate, failure rate and unscheduled replacement rate of parts. The paper establishes a grading standard of the indicator systems of airline fleet reliability. In view of its fuzziness, randomness and complexity, the attribute interval recognition model of the reliability of airline fleet is established based on attribute interval recognition theory. To eliminate the subjectivity of indicator weight, the weight coefficient is determined by the entropy weight method. Finally, the identification of risk status grade and the analysis of results on the reliability of airline fleet is performed by attribute grey close degree, attribute confidence level rule, grey clustering method and fuzzy pattern recognition respectively. The case study shows that the entropy weight attribute interval grey close degree recognition method is comparatively simple, reliable and objective, and it supplies a scientific method to recognize the status of airline fleet reliability.

Key words: airline fleet, reliability, attribute interval recognition, entropy, grey close degree

CLC Number:

V240.2

CHEN Yonggang, LUO Xiaoli, YANG Xiaoqiang. Recognition Method of Airline Fleet Reliability Status[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(8): 2217-2224.

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Recognition Method of Airline Fleet Reliability Status

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