DocumentCode :
2256950
Title :
Condition health monitoring of offshore wind turbine based on wireless sensor network
Author :
Fu Zhixin ; Yuan Yue
Author_Institution :
Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
fYear :
2012
fDate :
12-14 Dec. 2012
Firstpage :
649
Lastpage :
654
Abstract :
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.
Keywords :
condition monitoring; offshore installations; power generation faults; power generation reliability; power system measurement; telecommunication network topology; wind turbines; wireless sensor networks; OWT; WSN; cluster-based distributed wireless sensor network topology; condition health monitoring system; environment monitoring; fault feature analysis; information collection reliability; maintenance; offshore wind turbine; condition health monitoring; offshore wind turbine; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IPEC, 2012 Conference on Power & Energy
Conference_Location :
Ho Chi Minh City
Type :
conf
DOI :
10.1109/ASSCC.2012.6523345
Filename :
6523345
Link To Document :
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