Sage Journals: Discover world-class research

Abstract

Motor current signature analysis (MCSA) used in the diagnosis of centrifugal pumps has become a hot topic due to its non-intrusive and cost-effective nature. Yet, traditional current-based diagnosis methods show limitations as massive computation and power frequency interference. Moreover, most of them focus on the fault detection, fewer discuss the applications in operation evaluation. Therefore in this article, the hydro-mechanical-electric coupling effect that exists in the induction motor-centrifugal pump system is analyzed systematically. On this foundation, novel indicators that can reflect the harmonic distortion and noise proportion of stator current signals, and further indicate the hydraulic stability and operation status are proposed. Theoretical and experimental analysis support this paper, and results have demonstrated that our proposed indicators can indicate the operation change, identify the optimal operation region, and reflect the development of cavitation for centrifugal pumps. These indicators have the advantages of easy calculation and identification, therefore can be conveniently compared with accepted standards and enable immediate remedial actions to be implemented to ensure the stable operation.

Keywords

MCSA centrifugal pumps operation evaluation indicators harmonic noise

Get full access to this article

View all access options for this article.

References

Luo

Yuan

, et al. Research on characteristic of the vibration spectral entropy for centrifugal pump. Adv Mech Eng 2014; 2014: 1–9.

Friedrich Gülich

. Centrifugal pumps. 3rd ed. Basel: Springer Nature, 2008.

Luo

Han

Zhang

. Research on the operation condition indicator for centrifugal pump based on sensorless monitoring technology. Proc IMechE, Part E: J Process Mechanical Engineering 2021; 235: 514–526.

Gonçalves

JPS

Fruett

Dalfré Filho

, et al. Faults detection and classification in a centrifugal pump from vibration data using markov parameters. Mech Syst Signal Process 2021; 158: 107694.

Sun

Yuan

Luo

. Cyclic spectral analysis of vibration signals for centrifugal pump fault characterization. IEEE Sens J 2018; 18: 2925–2933.

Guzzomi

Pan

. Monitoring single-stage double-suction pump efficiency using vibration indicators. Proc IMechE, Part E: J Process Mechanical Engineering 2014; 228: 332–336.

Bohn

Olson

Gopaluni

, et al. Sensing concept for practical performance-monitoring of centrifugal pumps. In: 2019 IEEE SENSORS, Montreal, QC, Canada, 27–30 October 2019, pp. 1–4. New York, NY: IEEE.

Kalmár

Hegedűs

. Condition monitoring of centrifugal pumps based on pressure measurements. Period Polytechnica Mech Eng 2019; 63: 80–90.

Zhang

Gao

, et al. Coherence analysis to detect unsteady rotating stall phenomenon based on pressure pulsation signals of a centrifugal pump. Mech Syst Signal Process 2021; 148: 107161.

10.

Al-Hashmi

. Spectrum analysis of acoustic signals for cavitation detection. In: 2012 IEEE symposium on industrial electronics and applications, Bandung, Indonesia, 23–26 September 2012, pp. 321–325. New York, NY: IEEE.

11.

Kumar

Gandhi

Zhou

, et al. Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images. Appl Acoust 2020; 167: 107399.

12.

Luo

Zhixiang

Sun

, et al. Research on the induction motor current signature for centrifugal pump at cavitation condition. Adv Mech Eng 2015; 7: 1687814015617134.

13.

Sun

Luo

Yuan

, et al. Hilbert spectrum analysis of unsteady characteristics in centrifugal pump operation under cavitation status. Ann Nucl Energy 2018; 114: 607–615.

14.

Kong

Zhang

Yin

, et al. Study of fault current characteristics of the DFIG considering dynamic response of the RSC. IEEE Trans Energy Convers 2014; 29: 278–287.

15.

Poncelas

Rosero

Cusido

, et al. Motor Fault Detection using a Rogowski sensor without an integrator. IEEE Trans Ind Electron 2009; 56: 4062–4070.

16.

Henao

Fatemi

SMJR

Capolino

, et al. Wire rope fault detection in a hoisting winch system by motor torque and current signature analysis. IEEE Trans Ind Electron 2011; 58: 1727–1736.

17.

Bin

Gungor

VEHBIC

. Online and remote motor energy monitoring and fault diagnostics using wireless sensor networks. IEEE Trans Ind Electron 2009; 56: 4651–4659.

18.

Casada

. Screening pumping systems for energy savings opportunities. Energy Eng 2000; 97: 43–63.

19.

Hernandez-Solis

Carlsson

. Diagnosis of submersible centrifugal pumps: a motor current and power signature approaches. EPE J 2010; 20: 58–64.

20.

Nandy

Rehman

Jain

, et al. Flow diagnostics in centrifugal pumps by motor current signature analysis. Int J COMADEM 2016; 19: 55–56.

21.

Luo

Yuan

, et al. Induction motor current signature for centrifugal pump load. Proc IMechE, Part C: J Mechanical Engineering Science 2016; 230: 1890–1901.

22.

Park

Jeong

Lee

, et al. Influence of blade pass frequency vibrations on MCSA-based rotor fault detection of induction motors. IEEE Trans Ind Appl 2016; 53: 1–8.

23.

Alabied

Haba

Daraz

, et al. Empirical mode decomposition of motor current signatures for centrifugal pump diagnostics. In: Proceedings of the 24th international conference on automation & computing (ICAC), Newcastle Upon Tyne, UK, 6–7 September 2018. New York, NY: IEEE.

24.

Sun

Yuan

Luo

. Characterization of cavitation and seal damage during pump operation by vibration and motor current signal spectra. Proc IMechE, Part A: J Power and Energy 2019; 233: 132–147. New York: American Society of Mechanical Engineers.

25.

Popaleny

Péton

. Cryogenic pumps monitoring, diagnostics and expert systems using motor current signature analyses and vibration analyses. In: ASME-JSME-KSME 2019 8th joint fluids engineering conference, San Francisco, USA, 28 July–1 August 2019. New York: American Society of Mechanical Engineers.

26.

Alabied

Daraz

Rabeyee

, et al. Motor current signal analysis based on machine learning for centrifugal pump fault diagnosis. In: 2019 25th international conference on automation and computing (ICAC), Lancaster, UK, 5–7 September 2019, pp. 1–7. New York, NY: IEEE.

27.

Becker

Eckl

Mueller

, et al. Online condition monitoring of pumps based on adapted reference frame theory. In: 2021 IEEE 13th international symposium on diagnostics for electrical machines, power electronics and drives (SDEMPED), Dallas, TX, USA, 22–25 August 2021, pp. 153–159. New York, NY: IEEE.

28.

Hughes

. Electric motors and drives: fundamentals, types and applications. 3rd ed. Oxford: Newnes, 2006.

29.

Gong

. Fundamental research on monitoring of operating conditions for centrifugal pump based on MCSA. PhD Thesis, Jiangsu University, China, 2019.

30.

Boshi

. Control systems of electric drives—motion control systems. 3rd ed. Beijing: China Machine Press, 1996.

31.

Jiasheng

. Modern AC variable frequency speed control system. 1st ed. Dongying: China University of Petroleum Press, 2013.

32.

Bravo-Imaz

Davari Ardakani

Liu

, et al. Motor current signature analysis for gearbox condition monitoring under transient speeds using wavelet analysis and dual-level time synchronous averaging. Mech Syst Signal Process 2017; 94: 73–84.

33.

Imaichi

Tsujimoto

Yoshida

. An analysis of unsteady torque on a two-dimensional radial impeller. J Fluid Eng 1982; 104: 228–234.

34.

Guo

Shouqi

Yin

, et al. Experimental analysis on the characteristics of the transient rotational speed of centrifugal pumps. J Vibr Shock 2018; 37: 187–191.

35.

Dragomiretskiy

Zosso

. Variational mode decomposition. IEEE Trans Signal Process 2014; 62: 531–544.

36.

Nelik

. Centrifugal and rotary pumps: fundamentals with applications. In CRC Press. 1st ed. Boca Raton, FL: CRC Press LLC, 1999.

Supplementary Material

Please find the following supplemental material available below.

For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.

For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.

0.00 MB

0.05 MB

0.06 MB

0.05 MB

0.16 MB

0.20 MB

0.09 MB

0.13 MB

0.10 MB

0.12 MB

0.10 MB

0.14 MB

Operation diagnosis for centrifugal pumps using stator current-based indicators

Abstract

Keywords

Get full access to this article

References

Supplementary Material