DocumentCode :
1934672
Title :
Cavitations Monitoring and Diagnosis of Hydropower Turbine on Line Based on Vibration and Ultrasound Acoustic
Author :
Liu, Su-yi ; Wang, Shu-qing
Author_Institution :
Wuhan Univ. of Sci. & Eng., Wuhan
Volume :
5
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
2976
Lastpage :
2981
Abstract :
The cavitations erosion in hydropower turbines is always a restrict factor of their profitability, which leads to the requirements of periodic inspections and repairs. Detection of cavitations in hydropower turbines with adequate and accurate methods has always been the main goal for hydro-generators researchers in order to diminish or even eliminate its damaging consequences. In the present paper, A multiplex approach was introduced for cavitations detection in which vibratory & ultrasonic sensors are employed and mounted at the lower guide gearing in the direction +X and -Y on the draft tube manhole door and on the head cover etc. A case study of cavitations detection in a large Kaplan turbine is performed in order to detect the cavitations occurrence and to quantify its aggressiveness. Such analysis allows identifying the operating conditions associated with a high erosion risk, which may be taken into account for optimizing turbine operation in order to extend inspections and repairs interval.
Keywords :
condition monitoring; hydraulic turbines; maintenance engineering; wear; Kaplan turbine; cavitation diagnosis; cavitation monitoring; cavitations erosion; hydro-generators; hydropower turbine; Acoustical engineering; Blades; Condition monitoring; Frequency; Hydraulic turbines; Hydroelectric power generation; Inspection; Pollution measurement; Ultrasonic imaging; Vibration measurement; Cavitations; Diagnosis; Monitoring; Ultrasound; Vibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370657
Filename :
4370657
Link To Document :
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