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Numerical Control Machine Tool State Monitoring System Based on Multidimensional Information

机译：基于多维信息的数控机床状态监测系统

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摘要

It is known that information collection is the first link in fault diagnosis. Whether the collected signal contains sufficient and effective fault information directly affects the final diagnosis result. The lack, one-sided and incomplete fault information is one of the main causes of uncertainty in fault diagnosis. Therefore, first of all, combined with the structural characteristics of numerical control machine tools equipped with a variety of precision sensors and the uniqueness of the numerical control mode of the machine tools, based on the concept of big data and the characteristics of different types of signals, this paper proposes and constructs a multidimensional sensing numerical control machine tools state monitoring system and discusses the online acquisition mode of a variety of information, so as to ensure comprehensive and effective acquisition of fault information and provide reliable original data for numerical control machine tools state monitoring and fault diagnosis.
机译：众所周知，信息收集是故障诊断中的第一个链接。收集信号是否包含足够且有效的故障信息直接影响最终的诊断结果。缺乏，片面和不完整的故障信息是故障诊断中不确定性的主要原因之一。因此，首先，结合的配有各种精密传感器和所述的机床的数值控制模式的唯一性数控机床的结构特点的基础上，大数据的概念和不同类型的特性信号，本文提出并构建一个多维传感数控机床状态监控系统，并讨论了各种信息的在线采集模式，以确保全面而有效的采集故障信息，为数控机床提供可靠的原始数据国家监测和故障诊断。

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