Abstract
In this study, sparsity maximization nonlinear blind deconvolution (NBD) is proposed to identify the vibration sources of satellite systems from mixed vibration signals. The proposed algorithm decomposes NBD into two independent stages, namely, nonlinear compensation and blind deconvolution. Since nonlinear distortion weakens the sparsity of the observed signals, sparsity maximization is introduced to the nonlinear compensation stage. In the blind deconvolution stage, the blind deconvolution algorithm with reference is used to separate the source signals. The proposed algorithm can improve the accuracy of source signal extraction from nonlinear mixed signals of complex mechanical systems. The effectiveness of the proposed method is verified through simulations. An experimental system of aluminum cabin structure is built based on the satellite’s cabin structure. Results show that the proposed algorithm can successfully realize the identification of source signals.
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Acknowledgements
This work was supported by National Natural Science Foundation of China (No. 51775410) and Science Challenge Project (No. TZ2018007).
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Recommended by Editor No-cheol Park
Teng Gong was born in Laiyang, China in 1990. He received his B.S. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China in 2013. He is currently pursuing a Ph.D. degree in mechanical engineering in the State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China. His research interests include BSS, intelligent diagnosis, and condition monitoring.
Zhousuo Zhang was born in Fengxiang, China in 1964. He received his M.S. and Ph.D. degrees from Xi’an Jiaotong University, Xi’an, China in 1991 and 2004, respectively. He is a Professor of mechanical engineering at Xi’an Jiaotong University. He served as a visiting scholar in the University of Southampton, Southampton, U.K., from 2006 to 2007. His current research interests include condition monitoring, fault diagnosis, and life prediction of mechanical equipment.
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Gong, T., Zhang, Z., Luo, X. et al. Sparsity maximization nonlinear blind deconvolution and its application in identification of satellite microvibration sources. J Mech Sci Technol 34, 69–81 (2020). https://doi.org/10.1007/s12206-019-1206-0
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DOI: https://doi.org/10.1007/s12206-019-1206-0