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LEGACY MACHINE MONITORING USING POWER SIGNAL ANALYSIS

机译:使用电源信号分析的传统机器监控

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摘要

A typical manufacturing job shop comprises of legacy machine tools, new (modern) machine tools, material handling devices, and peripheral manufacturing equipments. Automated monitoring of legacy machine tools has been a long-standing issue for the manufacturing industry primarily because of the computer numeric controller (CNC) closed architecture and limited external communication functionality. This paper describes a non-invasive methodology and development of a software application to monitor real-time machine status, energy usage, and other machining parameters for a legacy machine tool using power signal analysis. State machine algorithm is implemented to detect tool changes and part count. The system architecture, implementation, benefits, limitations, and future work needed for the legacy machine tool monitoring application is explained in detail.
机译:典型的制造车间包括旧机床,新(现代)机床,物料搬运设备和外围制造设备。遗留机床的自动监视对于制造业一直是一个长期的问题,这主要是因为计算机数字控制器(CNC)的封闭体系结构和有限的外部通讯功能。本文介绍了一种非侵入性方法和软件应用程序的开发,该软件可以使用功率信号分析来监视旧机床的实时机床状态,能耗和其他加工参数。执行状态机算法来检测工具更改和零件计数。详细说明了传统机床监视应用程序所需的系统体系结构,实现,优势,局限性以及未来的工作。

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