机床状态监测系统:可行方案综述

N. M. Anas, M. Yusof, Mohamad Zarin Abdul Aziz
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引用次数: 0

摘要

评估机床的某些特性并记录任何可能预示即将发生故障的值得注意的变化的技术被称为工具状态监测(TCM)。它大致分为离线状态监测和在线状态监测。当常规扫描足以确定工具的当前状态时,离线状态监测通常用于不太关键或半关键的资产。另一方面,在线状态监测是指通过将安装在机器上的传感器与集成软件无线连接,对工具进行持续评估,从而为振动分析、声发射、超声波和红外热成像等提供实时警报。TCM旨在优化中小型企业(SME)的制造操作,通常具有高混合小批量生产规模的特点,特别是通过早期检测计算机数控(CNC)机床的故障来减少零件缺陷。工具破损或磨损导致产品良率问题和计划外停机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Tool Condition Monitoring System: A Review on Feasible Solution
The technique of assessing certain machine tool characteristics and recording any noteworthy changes that might portend an imminent failure is known as tools condition monitoring (TCM). It is broadly classified into offline and online condition monitoring. Offline condition monitoring is often utilized for less critical or semi-critical assets when routine scanning is enough to determine the tools' present status. Online condition monitoring, on the other hand, refers to the continuous assessment of the tools by wirelessly connecting machine-mounted sensors to integrated software to deliver real-time alerts for things like vibration analysis, acoustic emissions, ultrasound, and infrared thermography. TCM aims to optimize Small Medium Enterprise (SME) manufacturing operation, often characterized by high-mixed low-volume production scales, specifically on reducing parts defect by detecting malfunction of the computerized numerical control (CNC) machine tools at an early stage. Tool breakage or worn-out tools lead to product yield problems and unscheduled downtimes.
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