DocumentCode :
2715763
Title :
Statistical analysis of vibration signals for cavitation detection ISIEA 2009
Author :
Al-Hashmi, Salem A.
Author_Institution :
Dept. of Electron. & Electr. Eng., SEBHA Univ., Sebha, Libya
Volume :
1
fYear :
2009
fDate :
4-6 Oct. 2009
Firstpage :
78
Lastpage :
82
Abstract :
Cavitation in a centrifugal pump causes deterioration of the hydraulic performance, damage to the pump components, high vibration and noise. To prevent cavitation and maintain pump performance, it is necessary to detect and diagnose the cavitation as early and accurately as possible. This paper presents non-destructive method to detect and diagnose cavitation in centrifugal pumps using statistical analysis of vibration signals. The vibration data was measured close to the discharge port and analysed in the time domain. It has been found that the probability density function (PDF) , Root mean square (RMS) and standard deviation (SD) values of structure vibration can be used successfully for detecting cavitation in centrifugal pump.
Keywords :
cavitation; flaw detection; pumps; statistical analysis; vibrations; cavitation detection; cavitation diagnosis; centrifugal pump; hydraulic performance; probability density function; root mean square; standard deviation; statistical analysis; structure vibration; Aerodynamics; Blades; Cooling; Frequency; Friction; Pumps; Signal analysis; Signal detection; Statistical analysis; Vibrations; Cavitation; Centrifugal pump; Mean Value; Probability density function; Standard Deviation; Structure vibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-4681-0
Electronic_ISBN :
978-1-4244-4683-4
Type :
conf
DOI :
10.1109/ISIEA.2009.5356506
Filename :
5356506
Link To Document :
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