Unsteady characteristics analysis of centrifugal pump operation based on motor stator current

Abstract

Motor current signature analysis technology is a cost-effective, non-intrusive and reliable technique used for monitoring of motor-driven devices. In this method, the motor is regarded as a torque sensor. Theoretical analysis, numerical simulation, and experiment were conducted to do research on time–frequency analysis of current signature for unsteady characteristic extraction of pump operation. Results show that most energy of current is concentrated on the first order of Intrinsic Mode Function (IMF) component. Torque related oscillation could be reflected by energy amplitude and its variation. The root mean square and kurtosis value of transient energy in Hilbert spectrum could be regarded as the indicators of centrifugal pump operation point detection. Hilbert marginal spectrum could depict the stability of centrifugal pump operation and suggest the proper operation points to ensure high efficiency and reliability.

Keywords

Centrifugal pumps hydraulic turbines industrial tubomachinery measurement systems pump performance/efficiency turbomachinery flow

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References

Luo

Sun

Xing

et al.

Review for sensorless detection technology applied in centrifugal pumps. J Drain Irrig Mach Eng 2015; 33(6): 547–552. (in Chinese).

Hydraulic Institute. Pump life cycle costs: a guide to LCC analysis for pumping systems, New Jersey: Parsippany, 2001.

Harihara

Parlos

. Using motors to detect degradation. World Pumps 2011; 2011(11): 24–29.

Benbouzid MEH. A review of induction motors signature analysis as a medium for faults detection. In: Proceedings of the 24th annual conference of the IEEE industrial electronics society, ISBN 0 7803 4503 7, Aachen, Germany, August 31–September 4, 1998, pp.1950–1955.

Zhang

. The application of MCSA to diagnosis of asynchronous-motor-driven equipment, Northeastern University, 2006. (in Chinese).

Casada DA and Bunch SL. The use of the motor as a transducer to monitor pump conditions. Oak Ridge National Lab., TN, USA, 1995.

Casada DA. Monitoring pump and compressor performance using motor data. In: ASME international pipeline conference, vol. 885, no. 896, 1996, pp.9–13.

Haynes HD, Cox DF and Welch DE. Electrical signature analysis (ESA) as a diagnostic maintenance technique for detecting the high consequence fuel pump failure modes. Oak Ridge National Laboratory, 2002.

Harihara PP and Parlos AG. Sensorless detection and isolation of faults in motor-pump systems. In: ASME 2008 international mechanical engineering congress and exposition. American Society of Mechanical Engineers, 2008, pp.43–50.

10.

Harihara PP and Parlos AG. Sensorless detection of impeller cracks in motor driven centrifugal pumps. In: ASME 2008 international mechanical engineering congress and exposition. American Society of Mechanical Engineers, 2008, pp.17–23.

11.

Harihara PP and Parlos AG. Sensorless detection of cavitation in centrifugal pumps. In: ASME 2006 international mechanical engineering congress and exposition. American Society of Mechanical Engineers, 2006, pp.187–192.

12.

Ahonen T, Tamminen J, Ahola J, et al. Sensorless pump operation estimation. In: 13th European conference on power electronics and applications, 2009, EPE’09, IEEE, 2009, pp.1–10.

13.

Ahonen

. Monitoring of centrifugal pump operation by a frequency converter, Lappeenranta University of Technology, 2011.

14.

Luo

Yuan

et al.

Induction motor current signature for centrifugal pump load. Arch Proc IMechE, Part C: J Mechanical Engineering Science 1989; 203–210: 2015–1996.

15.

Luo

Zhixiang

Sun

et al.

Research on the induction motor current signature for centrifugal pump at cavitation condition. Adv Mech Eng 2015; 7: 1–13.

16.

Sun

Yuan

S-Q

Luo

et al.

Internal flow analysis of centrifugal pumps influenced by flow, motor and electricity. J Drain Irrig Mach Eng 2016; 34(2): 122–127. (in Chinese).

17.

Vagani

Engeda

Cave

. Prediction of impeller rotating stall onset using numerical simulations of a centrifugal compressor. Part 1: Detection of rotating stall using fixed-flow transient simulations. Proc IMechE, Part A: J Power and Energy 2013; 227(4): 403–414.

18.

Harris

et al.

The measurement of instantaneous angular speed. Mech Syst Signal Process 2005; 19(4): 786–805.

19.

Al-Hashmi S, Gu F, Li Y, et al. Cavitation detection of a centrifugal pump using instantanous angular speed. In: ASME, biennial conference on engineering systems design and analysis 2004, pp.185–190.

20.

Meng Q. Research on the application of signal characteristics extraction methods. Xidian University, 2005 (in Chinese).

21.

Mandic

Rehman

et al.

Empirical mode decomposition-based time-frequency analysis of multivariate signals: the power of adaptive data analysis. IEEE Signal Process Mag 2013; 30(6): 74–86.