A Multi-stage Storage Data Fusion Evaluation Method Based on Relative Entropy Weight Combination
Received:June 24, 2024  Revised:July 11, 2024
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DOI:10.7643/issn.1672-9242.2024.07.001
KeyWord:storage data  acceleration data  multi source information  relative entropy  weight calculation  fusion evaluation
              
AuthorInstitution
ZHANG Shengpeng Beihang University, Beijing, , China;Aerospace Science and Technology Defense Technology Research and Experiment Center, Beijing , China
NI Ruizheng Aerospace Science and Technology Defense Technology Research and Experiment Center, Beijing , China
XU Ruyuan Aerospace Science and Technology Defense Technology Research and Experiment Center, Beijing , China
MA Xiaobing Beihang University, Beijing, , China
LI Hongmin Beihang University, Beijing, , China;Aerospace Science and Technology Defense Technology Research and Experiment Center, Beijing , China
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Abstract:
      The equipment has been stored in a natural environment for certain years before the accelerated storage test. Its usage and detection information during different stages has different characteristics, and has irreplaceable value in determining the health status of the equipment. Natural storage data has high credibility but lacks data, while laboratory accelerated storage data has rich information but low credibility. This article aims to address the issue of low reliability in evaluating storage life due to the use of only accelerated storage data to obtain degradation information of product performance parameters. The results of natural storage data and accelerated storage data from two stages were integrated. The methods based on least squares and relative entropy were used to determine the weight ratios of data from different stages. Finally, an evaluation method that integrated two-stage data was formed. By conducting fusion analysis of natural storage data and accelerated storage data on the torsion bar and control amplifier products, a high confidence evaluation of the storage life of the two products was achieved. The weight ratios of natural storage data and accelerated storage data on the torsion bar were 0.263 and 0.737, respectively. The weight ratios of natural storage data and accelerated storage data on the control amplifier were 0.776 and 0.224, respectively. The data results show that the fusion evaluation method can combine the degradation characteristics of the two parts of the data to provide a more convincing evaluation result.
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