Title :
A CAN bus based system for monitoring and fault diagnosis in wind turbine
Author :
Mohanraj, M. ; Thottungal, R. ; Jaikumar, K.
Author_Institution :
Kumaraguru Coll. of Technol., Coimbatore, India
Abstract :
Electrical energy can be produced using fossil fuels and also by natural resources. The production of electrical energy using fossil fuels is costlier when compared to natural resources. Solar, wind, thermal and tidal energy are most widely used natural resources for the production of electrical energy. Presently wind energy is most widely used natural resources which could reduce the emission of carbon dioxide. The cost of the wind turbine is extremely higher and work in harsh and unattended environment. Hence the monitoring and the automation of wind turbine are necessary. This paper describes the monitoring and fault diagnosis system for wind turbine using CAN interface. The monitoring parameters and CAN interface are described in detail.
Keywords :
controller area networks; fault diagnosis; power engineering computing; wind power; wind turbines; CAN bus based system; CAN interface; carbon dioxide emission reduction; controller area network; electrical energy; fault diagnosis; fossil fuels; monitoring parameters; natural resources; solar energy; thermal energy; tidal energy; wind energy; wind turbine automation; Current measurement; Indexes; MATLAB; Monitoring; Reliability; Wind speed; Wind turbines; CAN (Controller Area Network); Fault Diagnosis; Wind turbine; monitoring parameters;
Conference_Titel :
Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT), 2013 International Conference on
Conference_Location :
Tiruvannamalai
Print_ISBN :
978-1-4673-5300-7
DOI :
10.1109/ICEVENT.2013.6496547
