Shuqian Cao

Prof. Shuqian Cao

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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2 March 2021 in Nonlinear Dynamics
Verified
Journal Article
Closed access
PDF file
FZFeng Zhao
Feng Zhao
JJJinchen Ji
Jinchen Ji
QLQuantian Luo
Quantian Luo
SCShuqian Cao
Shuqian Cao
LCLumin Chen
Lumin Chen
WDWenliao Du
Wenliao Du

29 April 2021 in Machines
Verified
Journal Article
Open access
PDF file
LLLiqing Li
Liqing Li
SCShuqian Cao
Shuqian Cao
JLJing Li
Jing Li
RNRimin Nie
Rimin Nie
LHLanlan Hou
Lanlan Hou
This review is dedicated to balancing methods that are used to solve the rotor-balancing problem. To ensure a stable operation over an operating speed range, it is necessary to balance a rotor. The traditional methods, including the influence coefficient method (ICM) and the modal balancing method (MBM) are introduced, and the research progress, operation steps, advantages and disadvantages of these methods are elaborated. The classification of new balancing methods is reviewed. Readers are expected to obtain an overview of the research progress of existing balancing methods and the directions for future studies.

29 March 2022 in Nonlinear Dynamics
Verified
Journal Article
Closed access
PDF file
FZFeng Zhao
Feng Zhao
SCShuqian Cao
Shuqian Cao
QLQuantian Luo
Quantian Luo
LLLiqing Li
Liqing Li
Jinchen JiJinchen Ji
Jinchen Ji

1 November 2011 in European Journal of Mechanics - A/Solids
Verified
Journal Article
Closed access
SWShiyu Wang
Shiyu Wang
MHMina Huo
Mina Huo
CZCe Zhang
Ce Zhang
JLJianping Liu
Jianping Liu
YSYimin Song
Yimin Song
YYYuhu Yang
Yuhu Yang

4 April 2024 in Nonlinear Dynamics
Verified
Journal Article
Closed access
PDF file
XOXu Ouyang
Xu Ouyang
SCShuqian Cao
Shuqian Cao
GLGuanwu Li
Guanwu Li

19 February 2019 in Energies
Verified
Journal Article
Open access
PDF file
XBXiaoyang Bi
Xiaoyang Bi
SCShuqian Cao
Shuqian Cao
DZDaming Zhang
Daming Zhang
The evaluation and fault diagnosis of a diesel engine’s health conditions without disassembly are very important for diesel engine safe operation. Currently, the research on fault diagnosis has focused on the time domain or frequency domain processing of vibration signals. However, early fault signals are mostly weak energy signals, and the fault information cannot be completely extracted by time domain and frequency domain analysis. Thus, in this article, a novel fault diagnosis method of diesel engine valve clearance using the improved variational mode decomposition (VMD) and bispectrum algorithm is proposed. First, the experimental study was designed to obtain fault vibration signals. The improved VMD method by choosing the optimal decomposition layers is applied to denoise vibration signals. Then the bispectrum analysis of the reconstructed signal after VMD decomposition is carried out. The results show that bispectrum image under different working conditions exhibits obviously different characteristics respectively. At last, the diagonal projection method proposed in this paper was used to process the bispectrum image, and the fourth order cumulant is calculated. The calculation results show that three states of the valve clearance are successfully distinguished.