由美国康涅狄格大学唐炯教授团队分享。
- 数据链接:(https://figshare.com/articles/Gear_Fault_Data/6127874/1)
- P. C, S. Z, J. T. Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning[J]. IEEE Access, 2018,6:26241-26253. 论文链接
- 课题组研究介绍Dynamics, Sensing, and Controls Lab
experimental data are collected from a benchmark two-stage gearbox with replaceable gears as shown in Figure 7. The gear speed is controlled by a motor. The torque is supplied by a magnetic brake which can be adjusted by changing its input voltage. A 32-tooth pinion and an 80-tooth gear are installed on the �rst stage input shaft. The second stage consists of a 48-tooth pinion and 64-tooth gear. The input shaft speed is measured by a tachometer, and gear vibration signals are measured by an accelerometer. The signals are recorded through a dSPACE system (DS1006 processor board, dSPACE Inc.) with sampling frequency of 20 KHz. As shown in Figure 8, nine different gear conditions are introduced to the pinion on the input shaft, including healthy condition, missing tooth, root crack, spalling, and chipping tip with �ve different levels of severity.