• 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