Scholarlink

The factors affecting the consumption of landing spare parts are difficult to determine, which affects the accuracy of consumption prediction. This article explores the main influencing factors of landing spare parts consumption and uses multiple linear regression methods to predict the consumption of landing spare parts based on these factors. The calculation results show that the two factors of flight time and takeoff and landing frequency have a significant impact on the consumption, and the linear significance is significant. The multiple linear regression prediction results are in line with the actual situation, and the prediction effect is good. The research method in this article can be extended and applied to predict the consumption of various landing spare parts.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Prediction of Landing Spare Parts Consumption Based on Multiple Linear Regression

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Feng Guo,
  • Hongwei Zhu,
  • Shusong Yu,
  • Hailu Liu,
  • Bin Tan

摘要

The factors affecting the consumption of landing spare parts are difficult to determine, which affects the accuracy of consumption prediction. This article explores the main influencing factors of landing spare parts consumption and uses multiple linear regression methods to predict the consumption of landing spare parts based on these factors. The calculation results show that the two factors of flight time and takeoff and landing frequency have a significant impact on the consumption, and the linear significance is significant. The multiple linear regression prediction results are in line with the actual situation, and the prediction effect is good. The research method in this article can be extended and applied to predict the consumption of various landing spare parts.