基于改进FDOD度量的航空发动机健康状况评估

doi:10.12305/j.issn.1001-506X.2022.11.35

Abstract

Abstract:

Aiming at the problem that the weight of each index is not fully considered in the previous comprehensive evaluation of aero-engine health based on the function of degree of disagreement (FDOD), which results in the inaccurate evaluation results, a comprehensive evaluation method to improve the FDOD measurement is proposed. Firstly, the subjective weight of each index is determined by using the order relation analysis method (G1 method for short), and the correlation between each index is determined by using the factor analysis method to obtain the objective weight of each index. Secondly, the combination weight method based on the maximization of deviation determines the combination weight of each index, which makes the weight result more scientific and reasonable, and improves the differentiation of different objects. Then, the traditional FDOD measurement is improved based on the combination weight to improve the accuracy of the comprehensive evaluation. Finally, the effectiveness of the proposed method is verified by the performance simulation data of turbofan engine provided by National Aeronautics and Space Administration.

Key words: aero-engine, health assessment, function of degree of disagreement (FDOD) measurement, combination weighting method

CLC Number:

V240.2

Yajuan HAN, Lulu ZHANG, Xiaohu LEI. Health assessment for aero-engine based on improved FDOD measurement[J]. Systems Engineering and Electronics, 2022, 44(11): 3579-3586.

Figures/Tables 5

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References 30

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r_j	说明
1.0	指标x′_j－1与指标x′_j同样重要
1.2	指标x′_j－1比指标x′_j稍微重要
1.4	指标x′_j－1比指标x′_j明显重要
1.6	指标x′_j－1比指标x′_j强烈重要
1.8	指标x′_j－1比指标x′_j极端重要

指标符号	指标名称
x₁	低压压气机出口总温
x₂	高压压气机出口总温
x₃	低压涡轮出口总温
x₄	风扇物理转速
x₅	核心机物理转速
x₆	高压压气机出口静压
x₇	燃油流量与P30比值

指标符号	重要性比值	权重值
x₃	-	0.364 6
x₅	1.7	0.214 5
x₆	1.5	0.143 0
x₇	1.4	0.102 1
x₂	1.4	0.072 9
x₁	1.3	0.056 1
x₄	1.2	0.046 8

真实状态	判定状态	数量	统计数量	分类准确率/%
健康样本	健康样本	93	100	93
健康样本	故障样本	7	100	7
故障样本	故障样本	92	100	92
故障样本	健康样本	8	100	8

综合评价指标	赋权方法	分类准确率/%
综合评价指标	赋权方法	健康样本	故障样本
FDOD度量	未赋权	85	80
	G1法	86	84
	因子分析法	88	89
	乘法合成组合赋权法	88	70
	线性加法合成组合赋权法 (主观偏好系数为0.9)	89	79
	基于综合评价值最大化组合赋权法	98	52
	基于偏差最小化组合赋权法	87	89
	基于离差最大化组合赋权法	93	92

Health assessment for aero-engine based on improved FDOD measurement

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