Research on Data Center of Wind Power Based on Cloud Computing
Guang Lei Li, Shu Min Sun, Cheng Yan · Applied Mechanics and Materials · 2013
Building data center and data mining of wind power is essential to detect potential safety problems. The traditional data centers requires a lot of computing device and also have some disadvantages, such as limited scalability, high cost and low reliability. This paper presents the remote fault diagnosis system of wind power based on cloud computing and thoroughly analyzes construction demands and functional structure. Experimental results show that this system can effectively analyze mass monitored data, accurately assess equipment failure and reduce costs and the operating costs. This provides a new idea for cloud computing applied to data center of wind power.