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Off-Design Operation and Cavitation Detection in Centrifugal Pumps Using Vibration and Motor Stator Current Analyses.
Han, Yuejiang; Zou, Jiamin; Presas, Alexandre; Luo, Yin; Yuan, Jianping.
Affiliation
  • Han Y; Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China.
  • Zou J; Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China.
  • Presas A; Centre for Industrial Diagnostics and Fluid Dynamics, Polytechnic University of Catalonia, 08034 Barcelona, Spain.
  • Luo Y; Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China.
  • Yuan J; Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China.
Sensors (Basel) ; 24(11)2024 May 25.
Article in En | MEDLINE | ID: mdl-38894202
ABSTRACT
Centrifugal pumps are essential in many industrial processes. An accurate operation diagnosis of centrifugal pumps is crucial to ensure their reliable operation and extend their useful life. In real industry applications, many centrifugal pumps lack flowmeters and accurate pressure sensors, and therefore, it is not possible to determine whether the pump is operating near its best efficiency point (BEP). This paper investigates the detection of off-design operation and cavitation for centrifugal pumps with accelerometers and current sensors. To this end, a centrifugal pump was tested under off-design conditions and various levels of cavitation. A three-axis accelerometer and three Hall-effect current sensors were used to collect vibration and stator current signals simultaneously under each state. Both kinds of signals were evaluated for their effectiveness in operation diagnosis. Signal processing methods, including wavelet threshold function, variational mode decomposition (VMD), Park vector modulus transformation, and a marginal spectrum were introduced for feature extraction. Seven families of machine learning-based classification algorithms were evaluated for their performance when used for off-design and cavitation identification. The obtained results, using both types of signals, prove the effectiveness of both approaches and the advantages of combining them in achieving the most reliable operation diagnosis results for centrifugal pumps.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: China