Health Assessment of Transmission System in Vehicle Mounted Antenna

Bearing and worm gear are the key components of transmission system in Radar vehicle mounted antenna, which are prone to damage during working, causing the failure of the transmission system so that the radar vehicle can’t work normally. Therefore, the health assessment of the transmission system is very important for the radar vehicle. For this purpose, this paper proposes an index named minimum quantization error (MQE) based on multi-feature fusion self-organizing mapping (SOM) to monitor the condition of the transmission system. We extracted the time domain features of the original signal, and screened the feature indexes that are sensitive to faults. Then, wavelet decomposition was carried out, and we analyzed the frequency spectrum of the low frequency band, which helped us extracted the energy proportion of the fault characteristic band as the feature index of the frequency domain. Finally, the above sensitive indexes were trained by SOM to construct a fusion feature. The experimental results show that the fusion feature index can describe the degradation process of rolling bearing well and effectively realize the health assessment of transmission system in vehicle mounted antenna.