Overall health assessment method of aero-engine under variable working conditions based on working condition identification and Tanimoto distance

A technology of aero-engine and Tanimoto distance, which is applied in the direction of instruments, simulators, control/regulation systems, etc., can solve the problem that performance parameters cannot reflect the health status of the system, and achieve a comprehensive effect of measurement

Inactive Publication Date: 2016-11-09
BEIHANG UNIV
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Problems solved by technology

[0004] However, aeroengines work under complex and changeable working conditions, and the changing working conditions cover up the real degradation law of performance parameters. Due to the interference of changing working conditions, pure performance parameters cannot reflect the health of the system

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  • Overall health assessment method of aero-engine under variable working conditions based on working condition identification and Tanimoto distance
  • Overall health assessment method of aero-engine under variable working conditions based on working condition identification and Tanimoto distance
  • Overall health assessment method of aero-engine under variable working conditions based on working condition identification and Tanimoto distance

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Embodiment Construction

[0023] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0024] The present invention is based on working condition identification and Tanimoto distance health assessment method for aero-engine complete machine under variable working conditions. The specific steps are as follows:

[0025] 1. Working condition identification based on K-means clustering

[0026] The K-means clustering algorithm was proposed by MacQue, which is widely used in data mining and is one of the classic clustering algorithms. Let X={X 1 ,X 2 ,...,X n} is a known data set, X in X 1 ,X 2 ,...,X n is n data objects and each data object is N-dimensional, that is, X i =(x i1 ,x i2 ,...,x iN ). The K-means clustering algorithm is to find a set C={C that contains K cluster centers 1 ,C 2 ,...,C K}={(c 11 ,c 12 ,...,c 1N ),(c 21 ,c 22 ,...,c 2N ),...,(c K1 ,c K2 ,...,c KN )} such that the objective function

[...

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Abstract

The invention relates to an overall health assessment method of an aero-engine under variable working conditions based on working condition identification and a Tanimoto distance. The aero-engine works in a complicated changing environment; the performance data do not present a declining tendency because of the changing work conditions of the engine in use; and thus an assessment result of a health assessment method based on a single model is not accurate. According to the invention, the method comprises: a current working condition state of an aero-engine is identified; according to the identified working condition, a corresponding health assessment model is selected and a health state of the system is assessed; and then health indexes under different working conditions are combined to obtain a health index sequence under a changing working condition. With the method, the interference of the working condition changing can be avoided; and thus a real health state of the aero-engine can be provided.

Description

technical field [0001] The invention relates to the technical field of aero-engine health management, in particular to a method for evaluating the health of an aero-engine under variable operating conditions based on operating condition identification and Tanimoto distance. Background technique [0002] Aeroengines are very important to aircraft, and their performance directly determines the flight safety of the aircraft. Due to the high cost of aircraft engines, airlines do not frequently replace engines when there is a problem with the engine, but solve the problem through maintenance and repair. Since the 1980s, the global aviation industry has developed rapidly, but the accompanying flight safety issues have become more and more prominent. Statistics show that among all aircraft flight accidents, accidents caused by aeroengine failure account for about 60%. Therefore, how to effectively prevent aero-engine failures has become the top priority of ensuring flight safety....

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Application Information

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IPC IPC(8): G05B17/02
CPCG05B17/02
Inventor 刘红梅李连峰吕琛马剑
Owner BEIHANG UNIV
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