Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (10): 3275-3281.doi: 10.12305/j.issn.1001-506X.2022.10.34

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Extraction method of missile equipment health characterization parameters based on improved PCA

Lu GUO1,2,*, Xiaodong LIU1, Dongtao WEI3, Pu ZHU1   

  1. 1. College of Equipment Management and UAV Engineering, Air Force Engineering University, Xi'an 710051, China
    2. Jiangnan Mechanical and Electrical Design Institute, Guiyang 550009, China
    3. Air Force Logistics College, Xuzhou 221000, China
  • Received:2021-09-28 Online:2022-09-20 Published:2022-10-24
  • Contact: Lu GUO

Abstract:

Aiming at the problems of complex and integrated missile equipment health status information and difficult to extract health characterization parameters, a method for determining low-dimensional sensitive characterization parameters of equipment health status based on improved principal component analysis (PCA) is proposed. Firstly, the equipment extensional failure mode and effect analysis are carried out to construct the initial high-dimensional characteristic parameter set. Then, the improved PCA is used to reduce the dimension of the parameter set. Under the goal of maximizing the global characteristic variance of the high-dimensional characterization parameters, the nonlinear characterization parameters subset is extracted. The proposed method is applied to the health evaluation experiment of missile steering gear, and verified by the fault injection simulation equipment. The results show that the health characterization parameters extracted by the proposed method have high recognition accuracy for the health status of steering gear, indicating that the proposed method has obvious advantages in the extraction of missile equipment health characterization parameters.

Key words: missile equipment, health management, characterization parameter, improved principal component analysis (PCA), steering gear

CLC Number: 

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