Rolling bearing, as a key component of rotating machinery, its health status directly determines the stability and reliability of the whole machine. The research on its intelligent diagnosis method has important engineering value and academic significance. However, due to actual engineering conditions, the types of bearing failures and the amount of data are limited. Aiming at the difficulty of extracting and selecting bearing vibration features under limited sample constraints, this pa-per proposes an intelligent fault diagnosis method of SF-SVM. On the basis of the short-time Fourier change, the L2 regularized sparse filter is used to extract the unsupervised feature of the bearing vibration time-frequency map. After obtaining the typical features of the bearing, the support vector machine is used for diagnosis.

Due to the large support span of the pitching mechanism of the Fork-arm antenna pedestal of large phased array track and control equipment, the antenna array was deflected downward by its self-weight load. When measuring the pitch angle error, the pitch axis and the normal pointing angle of the array fluctuated, which significantly interfered with the evaluation results of common measuring methods for pitch angle error such as electronic goniometer. In view of the above problems, this paper proposed a pitch angle error measurement technology of track and control equipment based on motion trajectory. In this method, Target point for measurement was set in the appropriate area of the end face of the array skeleton, and the laser tracker was used to track and capture the spatial coordinates and trajectory of the target point in the process of pitching motion. The geometric model of the pitch angle algorithm was constructed based on the circular motion trajectory, which eliminated the influence of the fluctuation of the pitch axis and the normal pointing angle of the array on the pitch angle. The pitch angle error algorithm and data processing model were established, and the programmed rapid calculation and evaluation of the pitch angle deviation of track and control equipment were realized.

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