故障逻辑与贝叶斯时变评价网络融合的民机空调系统健康评估方法

doi:10.12305/j.issn.1001-506X.2026.03.13

Abstract

Abstract:

To effectively achieve health assessment of civil aircraft air conditioning system under limited sample conditions and address the challenge of evaluating state in the time dimension of air conditioning system, an assessment method that integrates fault logic with a Bayesian time-varying evaluation network is proposed. Firstly, based on the system operating principles, a three-level evaluation framework of “monitoring indicators–components–system” is constructed, and a fault logic diagram is employed to clarify the relationships between monitoring indicators and component states. Secondly, a time-varying comprehensively weighted fuzzy comprehensive evaluation method is established by introducing a temporal factor and information entropy independence weight coefficient coupling weighting strategy, enabling quantify health status of components in the time dimension. Thirdly, a game-equilibrium-driven Bayesian network is incorporated to map component states to the system state, forming the Bayesian time-varying coupling weighted fuzzy comprehensive evaluation model （BTCW-FCEM） for dynamic assessment of system-level health. Finally, case studies on single component and composite component faults are conducted using operational monitoring data from a domestic civil aircraft air conditioning system, validating the high accuracy and efficiency of model in dynamic health assessment. The results show that the BTCW-FCEM outperforms multiple comparative models in terms of accuracy, precision, recall, and F1 score in various fault scenarios, providing reliable technical support for health monitoring and fault warning of civil aircraft air conditioning systems.

Key words: Bayesian network, civil aircraft air conditioning system, health assessment, fault logic diagram, fuzzy evaluation

CLC Number:

V 271.1

Yunwen FENG, Shichun LYU, Qianyun KE, Rui WANG, Wanyi LIU. Health assessment method for civil aircraft air conditioning system integrating fault logic and Bayesian time-varying evaluation network[J]. Systems Engineering and Electronics, 2026, 48(3): 859-871.

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序号	客舱管路温度/℃	客舱温度	组件出口温度
1	25.3	24.3	42.5
2	25.4	24.2	45.3
$\vdots $	$\vdots $	$\vdots $	$\vdots $
n	25.5	24.3	48.2

指标名称	TVGMF
组件入口温度	偏小型TVGMF A₁（x）
组件入口压力	中间型TVGMF A₃（x）
组件入口流量	中间型TVGMF A₃（x）
组件压气机出口温度	偏小型TVGMF A₁（x）
组件出口压力	偏大型TVGMF A₂（x）
组件出口温度	偏小型TVGMF A₁（x）

指标名称	TVGMF
组件出口温度	偏小型TVGMF A₁（x）
客舱管路温度	偏小型TVGMF A₁（x）
客舱温度	中间型TVGMF A₃（x）

征兆层	状态层	关联强度
1号制冷组件B	制冷组件状态D	P（D=T \|B=T,C=T）=1 P（D=T \|其他）=0
2号制冷组件C	制冷组件状态D	P（D=T \|B=T,C=T）=1 P（D=T \|其他）=0
配平空气组件E	空调系统状态A	P（A=T \|D=F,E=F）=0 P（A=F \|其他）=1

概率	1号制冷组件	2号制冷组件	配平空气组件
P_prior-false	0.00025	0.00025	0.00035
P_{posterior-false}	0.06669	0.06669	0.09266

Health assessment method for civil aircraft air conditioning system integrating fault logic and Bayesian time-varying evaluation network

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对比指标	单部件故障准确率	单部件故障精确度	单部件故障召回率	单部件故障F1分数	复合部件故障准确率	复合部件故障精确度	复合部件故障召回率	复合部件故障F1分数
基准模型	BTIE- FCEM	BTIE- FCEM	BTIWC- FCEM	BTIE- FCEM	BCW- FCEM	BCW- FCEM	BCW- FCEM	BCW- FCEM

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