Health Assessment Method for Trapezoidal Screw Pairs Based on Transfer Learning

Once the trapezoidal lead screw in the radar antenna lifting mechanism fails, it is likely to cause personnel and equipment safety accidents. This article proposes a transfer learning based trapezoidal lead screw health discrimination method to address the problem of the lack of effective discrimination of the health of trapezoidal lead screw pairs. By collecting trapezoidal lead screw vibration data in a healthy state and transferring the vibration signal characteristics learned from public gear datasets, the trapezoidal lead screw vibration data is fitted to construct a trapezoidal lead screw health index. The experimental results show that the method proposed in this paper can effectively monitor the abnormal state of trapezoidal screw and has a significant effect on preventing screw failure.