Grinding is a finishing operation performed to obtain the desired finish on the component. Wheel wear is one of the primary constraints in achieving the desired productivity in grinding. A new methodology is proposed for accurate and timely identification of wheel wear in cylindrical grinding using Hilbert Huang transform and support vector machine. During the grinding of EN31 carbon steel, the condition of the wheel and its wear was monitored with an accelerometer and power cell. Both vibration and power signals captured were used to identify the condition of the wheel and its wear. An exhaustive feature set is generated in the frequency and the time-frequency domain. Hilbert Huang transform, an adaptive time-frequency analysis technique, was used to extract the features of tool wear in the time-frequency domain. The first three IMF constituents were further chosen for feature extraction of statistical parameters based on their mean energy. Random forests algorithm was used to identify the relevant features. The methodology was validated with several grinding experiments and, is found to give an accuracy of 100% with both low and high cutting depths. The results indicated the robust and reliable wheel wear detection in cylindrical grinding with the use of relatively cheap sensors like accelerometers. The proposed method can be widely used in many applications in the industry where grinding is predominantly used as the finishing operation.

磨削是为了在组件上获得所需的光洁度而执行的精加工操作。砂轮磨损是获得所需磨削生产率的主要限制之一。提出了一种新的方法，该方法可使用希尔伯特·黄（Hilbert Huang）变换和支持向量机，准确，及时地识别圆柱磨削中的砂轮磨损。在磨削EN31碳钢期间，使用加速度计和动力电池对砂轮的状况及其磨损进行了监控。捕获的振动信号和功率信号都用于识别车轮状况及其磨损。在频域和时频域中生成了详尽的功能集。使用希尔伯特·黄（Hilbert Huang）变换（一种自适应时频分析技术）来提取时频域中的刀具磨损特征。根据它们的平均能量，进一步选择了前三个IMF成分进行统计参数的特征提取。使用随机森林算法来识别相关特征。该方法已通过多个磨削实验验证，发现在低和高切削深度下均可达到100％的精度。结果表明，通过使用相对便宜的传感器（如加速度计），可以对圆柱磨削中的砂轮磨损进行鲁棒且可靠的检测。所提出的方法可以广泛地用于工业中的许多应用中，其中磨削主要用作精加工操作。该方法已通过多个磨削实验验证，发现在低和高切削深度下均可达到100％的精度。结果表明，使用相对便宜的传感器（如加速度计）可对圆柱磨削中的砂轮磨损进行鲁棒且可靠的检测。所提出的方法可以广泛地用于工业中的许多应用中，其中磨削主要用作精加工操作。该方法已通过多个磨削实验验证，发现在低和高切削深度下均可达到100％的精度。结果表明，通过使用相对便宜的传感器（如加速度计），可以对圆柱磨削中的砂轮磨损进行鲁棒且可靠的检测。所提出的方法可以广泛地用于工业中的许多应用中，其中磨削主要用作精加工操作。