DocumentCode :
2342225
Title :
Based on CAN bus wind generating set online monitoring and fault diagnosis system
Author :
Yaolin, Li ; Xuange, Peng ; Peipei, Li
Author_Institution :
JiangMen Polytech., Jiangmen
fYear :
2008
fDate :
24-27 Nov. 2008
Firstpage :
195
Lastpage :
197
Abstract :
Wind generating set online monitoring and fault diagnosis system, using CAN bus, combines by sensor system, scene gathering and processing, monitoring system, analysis and diagnosis system, network system, etc.. This system combines signal processing, artificial intelligence, communications, DSP, databases, computer networks and so on, decomposes a complete online monitor and diagnosis duty to each computer on different level, coordinates mutually, completes the monitor task together; and the online way integrated experts wisdom of diagnostics, has realized the long-distance monitor and the diagnosis, therefore enterprises may register the correlation the long-distance diagnostic center Website to carry on the analysis diagnosis directly. Practice has proved that this system integrated data collection, performance analysis, fault diagnosis, artificial intelligence technologies in one integrated information system, realized running status monitor and the breakdown diagnosis to the wind generating set. The system has a certain practicality and effectiveness.
Keywords :
computerised monitoring; controller area networks; fault diagnosis; field buses; power engineering computing; power generation faults; wind power plants; CAN bus wind generating set online monitoring; artificial intelligence; fault diagnosis system; integrated information system; long-distance diagnostic center Website; performance analysis; sensor system; signal processing; Artificial intelligence; Computer networks; Computerized monitoring; Databases; Digital signal processing; Fault diagnosis; Layout; Registers; Sensor systems; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1887-9
Electronic_ISBN :
978-1-4244-1888-6
Type :
conf
DOI :
10.1109/ICSET.2008.4747000
Filename :
4747000
Link To Document :
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