Method to analyze the impact of maintenance and support process based on neural network

Jingqian Wen*, Qing Li, Qingbin Zhao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

To solve the problem in determining key influence factors of maintenance and support, a new quantitative method was put forward which takes the support service processes as analysis object. In this method, the relation function between the influence factors and equipment performance was established, and the definitions of the influence degree, key element, key influencing factors and the combined influence degree were given out. To analyze the maintenance and support ability of manufacturer, the account, efficiency and stability of support processes were used as assessment indexes. Based on back-propagation neural network, the approximation solution for the relation function was calculated out by MATLAB software, which provided a computer realization to find out the key process and key influence factor for the producer. An application of certain aircraft manufacture was given to demonstrate the process analysis result. Compared with the expert grading method, the result obtained by this method is more objective.

Original languageEnglish
Pages (from-to)690-694
Number of pages5
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume37
Issue number6
Publication statusPublished - Jun 2011
Externally publishedYes

Keywords

  • Impact measurement
  • Key factors
  • Key process
  • Maintenance support capability analysis
  • Neural networks

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