Simple vibration-based metrics are, in many cases, insufficient to diagnose machine tool spindle condition. These metrics couple defect-based motion with spindle dynamics; diagnostics should be defect-driven. A new method and spindle condition estimation device (SCED) were developed to acquire data and to separate system dynamics from defect geometry. Based on this method, a spindle condition metric relying only on defect geometry is proposed. Application of the SCED on various milling and turning spindles shows that the new approach is robust for diagnosing the machine tool spindle condition.

中文翻译：

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一种基于缺陷驱动的机床主轴诊断方法

在许多情况下，简单的基于振动的指标不足以诊断机床主轴状况。这些指标将基于缺陷的运动与主轴动力学相结合；诊断应该是缺陷驱动的。开发了一种新方法和主轴状态估计装置 (SCED) 来获取数据并将系统动力学与缺陷几何结构分开。基于这种方法，提出了一种仅依赖于缺陷几何形状的主轴状况度量。SCED 在各种铣削和车削主轴上的应用表明，新方法对于诊断机床主轴状况是稳健的。