yan zhao

Dr. yan zhao


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 March 2021 in Environmental Earth Sciences
Verified
Journal Article
Closed access
PDF file
YZyan zhao
yan zhao
RSRen Liang Shan
Ren Liang Shan
HWHai Long Wang
Hai Long Wang

13 April 2023 in Bulletin of Engineering Geology and the Environment
Verified
Journal Article
Closed access
PDF file
RSRenliang Shan
Renliang Shan
YZyan zhao
yan zhao
HWHaiLong Wang
HaiLong Wang
ZLZhongfei Liu
Zhongfei Liu
HQHuifeng Qin
Huifeng Qin

28 February 2023 in Rock Mechanics and Rock Engineering
Verified
Journal Article
Closed access
PDF file
HWHailong Wang
Hailong Wang
YZyan zhao
yan zhao
RSRenliang Shan
Renliang Shan
YWYonghui Wei
Yonghui Wei
DLDong Liu
Dong Liu
JDJie Dong
Jie Dong

14 September 2022 in Bulletin of Engineering Geology and the Environment
Verified
Journal Article
Closed access
PDF file
YZyan zhao
yan zhao
RSRenLiang Shan
RenLiang Shan
HWHaiLong Wang
HaiLong Wang
BXBoYan Xin
BoYan Xin

1 January 2021 in Shock and Vibration
Verified
Journal Article
Open access
PDF file
HWHailong Wang
Hailong Wang
HBHaobo Bai
Haobo Bai
YZyan zhao
yan zhao
DWDongsheng Wang
Dongsheng Wang
XWXiaojing Wang
Xiaojing Wang
SWShenghua Wang
Shenghua Wang
Aiming at the problem that the blasting vibration signal contains trend items and noise interference, a signal processing method based on the Fourier decomposition method (FDM) is introduced. Firstly, based on the FDM theory, the original blasting vibration signal is decomposed to obtain several modal components; then, the dominant component of the signal is filtered according to the dominant frequency of the modal component and its correlation with the original signal; finally, the dominant component is reconstructed to remove the trend item and noise at the same time; spectrum analysis is carried out to verify the effectiveness of the method. The results show that FDM can effectively disperse low‐frequency trend items, high‐frequency noise, and useful signal information while decomposing signals containing trend terms and noise; compared with the existing common methods, it can more effectively retain the original information, which provides a reference for the trend item and noise removal of similar blasting vibration signals.

30 August 2021 in Arabian Journal of Geosciences
Verified
Journal Article
Closed access
PDF file
YZyan zhao
yan zhao
RSRen-Liang Shan
Ren-Liang Shan
HWHai-Long Wang
Hai-Long Wang
XTXiao Tong
Xiao Tong
YLYun-He Li
Yun-He Li