Title :
Remote Monitoring and Diagnosis System for Wind Turbines Based on CAN
Author_Institution :
Network Center, Changchun Normal Univ., Changchun, China
Abstract :
Wind energy is one of the important renewable energy sources which could reduce the emission of carbon dioxide in order to improve the current severe situation of environment. Therefore, more and more attentions are focused on wind power generation. However, almost all wind turbines work in harsh and unattended environment, then condition monitoring as well as fault diagnosis is crucial to keep the wind turbines running. In this paper, a remote monitoring and diagnosis system for wind turbines based on controller area network (CAN) is presented. The monitoring parameters and the system framework and design of CAN interface are described in detail.
Keywords :
air pollution control; condition monitoring; controller area networks; fault diagnosis; power engineering computing; wind power plants; wind turbines; CAN interace; CO2; condition monitoring; controller area network; fault diagnosis; parameter monitoring; remote monitoring; renewable energy source; wind energy; wind power generation; wind turbine; Fault diagnosis; Power system reliability; Protocols; Remote monitoring; Servers; Wind turbines; Control Area Network (CAN); Remote monitoring and diagnosis; monitoring parameters; wind turbines;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.573
