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
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