Equipment consumption prediction based on projection pursuit regression

Equipment demand prediction is the basic work of equipment guarantee, and it has traction for equipment financing and replenishment. Using the projection tracing regression model, the prediction model of the factors affecting equipment consumption, such as the operation type style, operation duration and task difficulty, the comprehensive index of detachment behavior, the intensity of the operation, the number of personnel, the operation equipment, and the field conditions, etc., has been set up, and the experiments have shown that the prediction accuracy of this model is high, which solves the problem of the previous low prediction accuracy by using only historical data and traditional experience. The model has high prediction accuracy and solves the problem of low prediction accuracy by using only historical data and traditional experience, which is of great significance to the equipment guarantee.

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Publication Details

Published
2024-10-03
DOI
https://doi.org/10.1117/12.3048068
Primary Topic
Advanced Measurement and Detection Methods
Type
article
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Equipment consumption prediction based on projection pursuit regression

Yanan Zhang, Xiao Li
Advanced Measurement and Detection Methods
article

Equipment consumption prediction based on projection pursuit regression

Yanan Zhang, Xiao Li
article en

Abstract

Equipment demand prediction is the basic work of equipment guarantee, and it has traction for equipment financing and replenishment. Using the projection tracing regression model, the prediction model of the factors affecting equipment consumption, such as the operation type style, operation duration and task difficulty, the comprehensive index of detachment behavior, the intensity of the operation, the number of personnel, the operation equipment, and the field conditions, etc., has been set up, and the experiments have shown that the prediction accuracy of this model is high, which solves the problem of the previous low prediction accuracy by using only historical data and traditional experience. The model has high prediction accuracy and solves the problem of low prediction accuracy by using only historical data and traditional experience, which is of great significance to the equipment guarantee.

China Electronics Technology Group Corporation (CN)
Openalex Percentile: Top 85%
Advanced Measurement and Detection Methods
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Equipment consumption prediction based on projection pursuit regression — Yanan Zhang, Xiao Li · (2024) | TGRS Research Map | TGRS