Simulation Verification of Equipment Maintenance Characteristics Based on Big Data

被引：0

作者：

Liu, Yongling ^{[1
]}

Chen, Danhong ^{[1
]}

Gong, Zhen ^{[1
]}

Xiong, Qiushi ^{[1
]}

Chen, Guiyong ^{[1
]}

机构：

[1] School of Economics and Management, Shenyang Aerospace University, Liaoning, China

来源：

Lecture Notes on Data Engineering and Communications Technologies | 2022年 / 129卷

关键词：

Actual operation - Equipment maintenance - Fault attribute - Function modelling - Large equipments - Mechanical control - Mechanical technology - Simulation function model - Simulation verification - Training process;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The research on the simulation and verification technology of equipment maintenance characteristics based on big data is aimed at the possible failures and their causes in the actual operation training process of the technology-intensive complex system integrating mechanical, electronic, hydraulic, information and control technologies. The failure mode and impact analysis method (FMEA) is adopted for large equipment. This paper studies the electromechanical and electro-hydraulic faults in large weapon equipment, analyzes the basic properties and propagation characteristics of the faults, establishes the fault attribute description model database, carries on the fault propagation simulation analysis by using neural network. This study makes full use of the characteristics of big data virtuality, increases the number of repeated verification, reduces unnecessary costs and saves costs. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

引用

页码：356 / 362