Research on self-maintenance strategy of CNC machine tools based on case-based reasoning

Liu Kangju, Sun Weitang, Li Yefeng, Zhao Yuan
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Abstract

Self-maintenance strategy of CNC machine tool is one of the key technologies to realize intelligent manufacturing. The main difficulties of this technology are: how to effectively collect and summarize the possible faults of CNC machine tools; how to collect and analyze the execution status of CNC machine tools in real time; how to put forward and set the feasible and best fault maintenance strategy and expert scheme according to the collected information. For this reason, this paper proposes a solution for CNC machine tool maintenance: first, the CNC system needs to have the function of fault maintenance strategy screening, when the machine tool failure occurs, the CNC system can quickly select the best matching maintenance scheme; second, the CNC system needs to have the function of fault early warning, according to the historical fault data, it can send early warning before the failure occurs. Information, timely remind the operation and maintenance personnel to protect. Finally, the practical application verifies the application effect of the autonomous maintenance strategy.
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基于案例推理的数控机床自维护策略研究
数控机床的自维护策略是实现智能制造的关键技术之一。该技术的主要难点是:如何有效地收集和总结数控机床可能出现的故障;如何实时收集和分析数控机床的执行状态;如何根据收集到的信息,提出并设置可行的最佳故障维护策略和专家方案。为此,本文提出了一种针对数控机床维修的解决方案:首先,数控系统需要具备故障维修策略筛选功能,当机床发生故障时,数控系统可以快速选择最佳匹配的维修方案;其次,数控系统需要具备故障预警功能,根据历史故障数据,在故障发生前发出预警。注意事项,及时提醒操作维护人员保护。最后,通过实际应用验证了自主维修策略的应用效果。
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