Abstract
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 map** (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.
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References
Tao, J.: Overview of fault diagnosis methods based on information fusion technology. J. Sichuan Armoury 30(07), 127–129 (2009)
Wang, J., Li, F.: Review of signal processing methods in fault diagnosis for machinery. J. Sound Vib. 23(02), 128–132 (2013)
Wang, J., Li, F.: Signal processing methods in fault diagnosis of machinery-analyses in frequency domain. J. Sound Vib. 33(01), 173–180 (2013)
Wang, J., Li, F.: Review of signal processing methods in fault diagnosis for machinery using time-frequency analysis. J. Sound Vib. 33(03), 198–202 (2013)
Wu, D., Zheng, Y., Han, X.: Fault diagnosis of wind turbine bearing based on multi-feature fusion and XGBoost. Transducer Microsyst. Technol. 39(07), 145–149 (2020)
Shang, C., Mao, E., Hu, W.: Fault diagnosis and strategy research on radar equipment based on multi-source information fusion. Comput. Meas. Control 19(02), 344–346 (2011)
Zhang, Q., Chen, G., Lin, T., Ouyang, W., Teng, C., Wang, H.: Condition assessment for rolling bearings based on SOM. Chin. J. Mech. Eng. 28(05), 550–558 (2017)
Mao, R., Ma, X., Cheng, G., Chen, X.: Gear fault identification method based on multi-sensor information fusion. Min. Process. Equip. 43(11), 125–130 (2015)
Zhang, X., Han, J.: The application of fuzzy logic in radar fault diagnosis. Syst. Eng. Electron. 23(02), 90–93 (2001)
Jiang, L., Yu, X., Li, W.: Design of a radar fault diagnosis expert system. China High Technology Center, pp, 68–69 (2008)
Shun, D., Yang, W., Tao, J., Huang, Y.: Research on radar fault diagnosis method based on rough set. Mod. Radar 29(06), 20–22 (2007)
Meng, Y., Cai, J., Cao, H.: ANN-based fault diagnosis on radar. Chin. J. Sci. Instrum. 23(03), 246–248 (2002)
Jiao, L.: Application and Realization of Neural Network. **dian University Press, **’an (1996)
Zhu, S., **, Z., Xu, L.: Neural network-based fault diagnosis expert system for radar. Mach. Electron, 75–77 (2004)
Li, H., Wang, Z., Huang, Y.: Research on radar fault diagnosis method based on D-S evidential theory. Syst. Eng. Electron. 27(08), 1379–1383 (2005)
Wang, J., He, J.: Application of fault tree analysis in CINRAD fault diagnosis. J. Nan**g Univ. Inf. Sci. Technol. 5(02), 147–153 (2013)
Qiu, H., Lee, J., Lin, J., Yu, G.: Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics. J. Sound Vib. 289(4–5), 1066–1090 (2006)
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Sun, Y. et al. (2022). Health Assessment of Transmission System in Vehicle Mounted Antenna. In: Duan, B., Umeda, K., Kim, Cw. (eds) Proceedings of the Eighth Asia International Symposium on Mechatronics. Lecture Notes in Electrical Engineering, vol 885. Springer, Singapore. https://doi.org/10.1007/978-981-19-1309-9_181
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DOI: https://doi.org/10.1007/978-981-19-1309-9_181
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