Yue Yuan

Dr. Yue Yuan

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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1 May 2016 in Journal of Membrane Science
Verified
Journal Article
Closed access
Libing ZhengLibing Zheng
Libing Zheng
ZWZhenjun Wu
Zhenjun Wu
YWYuan Song Wei
Yuan Song Wei
YZYong Zhang
Yong Zhang
YYYue Yuan
Yue Yuan
JWJun Wang
Jun Wang


1 February 2016 in Journal of Water Process Engineering
Verified
Journal Article
Closed access
JWJun Wang
Jun Wang
XSXianguang Sun
Xianguang Sun
YYYue Yuan
Yue Yuan
HCHao Chen
Hao Chen
HWHongyu Wang
Hongyu Wang
DHDeyin Hou
Deyin Hou

1 October 2017 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
YYYue Yuan
Yue Yuan
XPXianjia Peng
Xianjia Peng

1 January 2025 in Water Cycle
Verified
Journal Article
Open access
YDYutong Duan
Yutong Duan
HXHongbo Xi
Hongbo Xi
ZQZhikai Qin
Zhikai Qin
RGRuili Guo
Ruili Guo
FWFang Wang
Fang Wang
YYYue Yuan
Yue Yuan

1 November 2012
Verified
Conference Paper
Closed access
ZFZhixin Fu
Zhixin Fu
YYYue Yuan
Yue Yuan
Due to the harsh environment, the maintenance of offshore wind turbines (OWTs) is very difficult and the failure rate is very high. Improving the condition monitoring technologies will be beneficial to promote the performance of OWTs. Motivated by the application advantages of wireless sensor networks (WSNs) in environment monitoring, a wireless network based condition health monitoring system for OWTs is proposed, which is composed of different types of wireless sensor nodes. Sensor nodes are deployed on the key components of OWTs based on the fault feature analysis on the different components. In order to guarantee the reliabilities of information collection and communication of the sensor nodes, the principles of the deployment and communication of the sensor nodes are presented and the cluster-based distributed wireless sensor network topology is adopted to increase the efficiency of the system. An example is given to illustrate the proposed method of the condition health monitoring for OWTs.