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Failure prediction by means of cepstral analysis and coherence function between thrust force and torque signals

机译:通过倒频谱分析和推力与扭矩信号之间的相干函数进行故障预测

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摘要

Requirements for flexible manufacturing have been increasing in the last years. In order to insure effective operation of expansive manufacturing equipment, which has to run automatically and unattended, tool monitoring is important. Therefore, the essential problem to be overcome to achieve the full potential of unmanned machining is the development of effective and reliable sensors system to monitor the process and corrective actions in case abnormal operation. The ultimate goal of the development of such production equipment is to enhance the overall economic of the manufacturing process. Even when there are at present many monitoring systems commercially available in the market for turning processes, serious difficulties still remain to be solved to apply monitoring systems successfully in machining centers. Being these difficulties mainly related with the limited accessibility to the rotating tool for sensing purposes in tool driven machining processes. Therefore, the primary objective of this paper assess the feasibility of using force signal analysis as means for monitoring tool condition in drilling.
机译:近年来,对柔性制造的需求一直在增长。为了确保必须自动运行且无人值守的大型制造设备的有效运行,工具监视非常重要。因此,要实现无人加工的全部潜力,必须克服的基本问题是开发有效且可靠的传感器系统,以在异常操作情况下监视过程和纠正措施。开发这种生产设备的最终目标是提高制造过程的整体经济性。即使目前市场上有许多用于车削加工的监控系统,要成功地将监控系统应用到加工中心中,仍然要解决严重的难题。这些困难主要与在刀具驱动的加工过程中出于感测目的而对旋转刀具的可及性有限有关。因此,本文的主要目的是评估使用力信号分析作为监测钻具状态的方法的可行性。

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