Title :
Monitoring and diagnosis system for wind power generation based on ad-hoc networks
Author :
Gao, Qiang ; Shen, Silei ; Wang, Tieliu
Author_Institution :
Beijing Univ. of Technol., Beijing, China
Abstract :
On-line monitoring and diagnosis of wind power generation is not easy because of its discrete distribution. In this paper, a new monitoring and diagnosis system for this problem is presented, which is based on ad-hoc networks. The reliability and maintenance is improved dramatically and some special functions for components failure alert are also added. Finally, a small ad-hoc network for simulation of wind power generation monitoring and diagnosis is fabricated in the laboratory, and a special routing algorithm is designed. The experiments show that the monitoring and diagnosis of wind power generation based on ad-hoc networks is practical and can be used in reality.
Keywords :
ad hoc networks; condition monitoring; telecommunication network routing; wind power plants; ad-hoc networks; discrete distribution; online diagnosis system; routing algorithm; wind power generation online monitoring; Ad hoc networks; Fault diagnosis; Monitoring; Routing; Routing protocols; Topology; Wind power generation; ad-hoc networks; failure diagnosis; status monitoring; wind power generation;
Conference_Titel :
World Non-Grid-Connected Wind Power and Energy Conference (WNWEC), 2010
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-8920-6
Electronic_ISBN :
978-1-4244-8921-3
DOI :
10.1109/WNWEC.2010.5673111