Design and Implementation of Equipment Maintenance Predictive Model Based on Machine Learning

2018 2nd annual International Conference on Cloud Technology and Communication Engineering

计算机科学;无线电电子学

Li, Xiang^1 ; Wei, Li^2 ; He, Jianfeng^2

Jiangxi Engineering Research Center of Process and Equipment for New Energy, East China University of Technology, Nanchang

330013, China^1

School of Software, East China University of Technology, No.418 Guanglan Avenue, Nanchang Economic, Nanchang

330013, China^2

关键词: Design and implementations;    Equipment maintenance;    Equipment replacement;    Industrial internets;    Prediction model;    Predictive modeling;    Reference values;    Technology implementation;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/466/1/012001/pdf
DOI  :  10.1088/1757-899X/466/1/012001

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Equipment replacement is a fundamental problem in the current industrial Internet of Things application and development and has very practical application significance and value. This paper takes the service life of equipment as the research object, applies machine learning theory, builds the equipment maintenance prediction model based on random forest regression on the basis of analysis and comparison, and gives the typical technology implementation and verification of the model, which has good adaptability and reference value.