Research on Cloud Platform for Wind Turbine Fault Diagnosis

Abstract:

The computational and storage resources of Wind Plant couldnt be fully utilized is a problem worth paying attention.The remote falut diagnosis center of wind turbine can integrate the data of each Wind Plant together, but the large amounts of data generated by the Wind Plant increase the cost of the enterprise. The Cloud Computing Platform which was built on the computing clusters with commodity machines can fulfill the demand of the mass storge and large-scale computing, and improve the real-time fault diagnosis evidently. With the web interface of the Cloud platform application, the accending personnel can look over the failure analysis results, inspection reports, and failure prediction system at the first time to prevent accidents and minimize the damage of the Wind Turbines.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 2255-2258
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.2255
• Online since: September 2013
• Authors: Cheng Gang Zhen, Li Ming Yue, Ying Jie Wu
• Keywords: Hadoop, Large-Scale Computing, Mass Storage, Remote Falut Diagnosis Center

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