In this study, the detection of wear faults in spur gears was examined using vibration analysis, statistical process control method, and statistical parameters. For this purpose, a closed-loop test rig with a power transmission system was established. Defect-free gears were attached to the test assembly, and the system was operated at a specific torsional load and number of cycles until the gears were worn. Vibration amplitudes at vertical and horizontal directions, received via sensors on the bearings, were transferred to the computer with a digital-analog converter. The control charts were plotted by sampling 30 data points per hour. Upper and lower control limits were determined by using the data obtained from the defect-free gears. The gears are worn in the process due to the effect of applied torque and the operation conditions suitable for the formation of defects. As a result, the vibration amplitudes were increased. The accuracy and convergence of the statistical process control method were verified by the statistical parameters root mean square, kurtosis value, skewness value, crest factor, and peak-to-peak values. It was emphasized that great convergence and accuracy between the statistical process control results and statistical parameters results are achieved. The present study showed that the detection of abrasion of a robust gear could be graphically demonstrated through a real-time experimental study. The statistical process control method is convenient and easily applicable, which allows constructing a real-time early warning system detecting malfunctions at the start.

在这项研究中，使用振动分析、统计过程控制方法和统计参数检查了正齿轮磨损故障的检测。为此，建立了带有电力传输系统的闭环试验台。无缺陷齿轮连接到测试组件上，系统在特定的扭转载荷和循环数下运行，直到齿轮磨损。通过轴承上的传感器接收的垂直和水平方向的振动幅度通过数模转换器传输到计算机。通过每小时采样 30 个数据点绘制控制图。通过使用从无缺陷齿轮获得的数据确定控制上限和下限。由于施加的扭矩的影响和适合形成缺陷的操作条件，齿轮在该过程中磨损。结果，振动幅度增加。通过统计参数均方根、峰度值、偏度值、波峰因数和峰峰值来验证统计过程控制方法的准确性和收敛性。强调了统计过程控制结果和统计参数结果之间的高度收敛性和准确性. 本研究表明，可以通过实时实验研究以图形方式证明对坚固齿轮磨损的检测。统计过程控制方法方便，易于应用，可以构建实时预警系统，在开始时检测故障。