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Fanhao Meng, Yong Ma, Yongjun Xia, Yimin Ma and Ming Jiang
This paper investigates system identification algorithms for modal identification of frame structures, such as a suspension bridge and an overhead transmission line-crossing frame, using ambient vibration measurements. The modal identification procedures...
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Zhiyang He, Weidong Cheng, Jiqiang Xia, Weigang Wen and Meng Li
With the development of industrial robots and other mechanical equipment to a higher degree of automation, mechanical systems have become increasingly complex. This represents a huge challenge for condition monitoring. The separation of vibration source ...
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Maoshen Jia, Jundai Sun and Xiguang Zheng
In this work, a multiple speech source separation method using inter-channel correlation and relaxed sparsity is proposed. A B-format microphone with four spatially located channels is adopted due to the size of the microphone array to preserve the spati...
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Dan Yang, Cancan Yi, Zengbin Xu, Yi Zhang, Mao Ge and Changming Liu
To solve the problem of multi-fault blind source separation (BSS) in the case that the observed signals are under-determined, a novel approach for single channel blind source separation (SCBSS) based on the improved tensor-based singular spectrum analysi...
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Cancan Yi, Yong Lv, Han Xiao, Guanghui You and Zhang Dang
To improve the performance of single-channel, multi-fault blind source separation (BSS), a novel method based on regenerated phase-shifted sinusoid-assisted empirical mode decomposition (RPSEMD) is proposed in this paper. The RPSEMD method is used to dec...
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