Intelligent health evaluation and degradation warning of aircraft air-conditioning systems: A method fusing mission profile and PCA-MD

Jiayu CHEN; Qinhua LU; Xuhang WANG; Zhilong SHI; Hongjuan GE; Min XIE

doi:10.7527/S1000-6893.2025.31604

ACTA AERONAUTICAET ASTRONAUTICA SINICA >

2025 , Vol. 46 >Issue 15: 231604 - 231604

DOI: https://doi.org/10.7527/S1000-6893.2025.31604

Solid Mechanics and Vehicle Conceptual Design

Intelligent health evaluation and degradation warning of aircraft air-conditioning systems: A method fusing mission profile and PCA-MD

Jiayu CHEN ,
Qinhua LU ,
Xuhang WANG ,
Zhilong SHI ,
Hongjuan GE ,
Min XIE

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^1.College of Civil Aviation，Nanjing University of Aeronautics and Astronautics，Nanjing 210016，China
^2.Department of Systems Engineering，City University of Hong Kong，Hong Kong 999077，China
^3.Aircraft Maintenance and Engineering CO. Ltd. Hangzhou Branch，Hangzhou 310000，China

E-mail： jiayu_chen@nuaa.edu.cn

Received date: 2024-12-03

Revised date: 2024-12-18

Accepted date: 2025-03-03

Online published: 2025-03-12

Supported by

National Natural Science Foundation of China(52102474);China Postdoctoral Science Foundation(2023M731663);Army Equipment Advance Research Program(DCYY018);Fundamental Research Funds for the Central Universities(XCXJH20240729);Hong Kong Innovation and Technology Commission, China

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Abstract

To address the problems of incomplete parameter characterization， imperfect feature extraction and inaccurate health evaluation caused by the weak correlation of physical information， mission process and environmental stress in the health state evaluation of aircraft air-conditioning system， this paper proposes an intelligent health evaluation and degradation warning method fusing mission profile and Principal Component Analysis-Mahalanobis Distance （PCA-MD） to provide a set of general solutions for intelligent health evaluation of aviation equipment complex systems. First， this paper analyses the functional structure and typical failures of the air conditioning system， constructs a health characterization parameter system including the total level and the system level， and captures the coupled failure characteristics of the systems. Second， the impact of the flight mission on the air conditioning system is analyzed to design a health parameter spectrum based on the mission profile， which fully expresses the differences of the health parameters in the different mission phases. Third， a health baseline model based on Euclidean paradigm is constructed， which can comprehensively consider the influence of maintenance and inspection， as well as the environmental changes on the health baseline. Fourth， a health evaluation and degradation early warning method based on PCA-MD is proposed， which resolves the problem of the irreversibility of the covariance matrix in the construction of the health indexes and the inconsistency of the dimensions of the matrix based on the spectrum of the health parameters through the introduction of PCA， so as to achieve the efficient construction of health indexes， accurate evaluation of health state and early warning identification of performance degradation. Finally， this paper carries out an application validation study on the 1 474 practical data samples of the air conditioning system of a A320 airplane. The comparative results have validated the feasibility， practicability， and superiority of the proposed method.

Key words： aviation equipment complex systems; intelligent health management; mission requirements; environmental stress; principal component analysis

Cite this article

Jiayu CHEN , Qinhua LU , Xuhang WANG , Zhilong SHI , Hongjuan GE , Min XIE . Intelligent health evaluation and degradation warning of aircraft air-conditioning systems: A method fusing mission profile and PCA-MD[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2025 , 46(15) : 231604 -231604 . DOI: 10.7527/S1000-6893.2025.31604

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