多源数据融合与协同处理在CNC机床设备故障预警中的应用研究  

Research on the Application of Multi source Data Fusion and Collaborative Processing in CNC Machine Tool Equipment Fault Warning

作　　者：朱志民 史晓萍 ZHU Zhimin;SHI Xiaoping(CRRC Nanjing Puzhen Vehicle Co.,Ltd.,Nanjing Jiangsu 210031)

机构地区：[1]中车南京浦镇车辆有限公司,江苏南京210031

出　　处：《中国科技纵横》2024年第21期65-67,共3页China Science & Technology Overview

摘　　要：本文针对CNC(Computer Numerical Control)机床设备故障预警需求,以振动传感器技术为基础,研究多源数据融合与协同处理的应用。本文通过介绍振动传感器技术原理及其在CNC机床中的应用现状,探讨多源数据融合技术在故障预警中的基本原理和优势挑战,分析振动数据在故障预警中的应用方法及与其他数据源融合的策略,提出多源数据融合与协同处理技术在CNC机床故障预警中的设计与实施方案,并通过实验设计与结果分析验证了其有效性与可行性。This article focuses on the demand for CNC(Computer Numerical Control)machine tool equipment fault warning,and studies the application of multi-source data fusion and collaborative processing based on vibration sensor technology.This article introduces the principle of vibration sensor technology and its application status in CNC machine tools,explores the basic principles and advantages and challenges of multi-source data fusion technology in fault warning,and analyzes the application methods of vibration data in fault warning and fusion strategies with other data sources.A design and implementation plan for multi-source data fusion and collaborative processing technology in CNC machine tool fault warning was proposed,and its effectiveness and feasibility were verified through experimental design and result analysis.

关 键 词：CNC机床 设备故障预警 振动传感器 多源数据融合 

分 类 号：TG659[金属学及工艺—金属切削加工及机床]