Skip to main content

Analysis and Study on Operating Trend of the Rotor System of Oil Pump Unit

  • 227 Accesses

Abstract

In China, as the length of the oil pipelines increases, operation condition of the oil pump units has become one of the key factors affecting safe operation of pipeline systems. Up to now, in most operating trend analyses of oil pumps,a single characteristic parameter is used. This approach often cannot reflect the overall operating condition of the pump unit. In this paper, we derived a 3D centerline orbit from vibration signals at multiple measuring points and multiple channels,and then, based on the 3D orbit, extracted relative jerk value of centerline orbits at two ends of the shaft. This derived metric combines the parameters of phase the centerline orbit radius and can reflect the energy of the relative jerk value between shaft ends. An operating trend analysis was conducted on an oil pump unit using this metric. The results indicate that this approach can accurately and effectively predict the operating trend of rotor system. It can be a powerful tool in life and condition prediction of oil pump units.

Keywords

  • Oil pump
  • Rotor system
  • Operating trend

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-981-13-2173-3_5
  • Chapter length: 8 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   169.00
Price excludes VAT (USA)
  • ISBN: 978-981-13-2173-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   219.99
Price excludes VAT (USA)
Hardcover Book
USD   219.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.

References

  1. Shu Dawen X (1998) Application and research of equipment fault diagnosis technique in mining machinery in China. J Kunming Univ Sci Technol 23(2):68–71

    Google Scholar 

  2. Jardine AKS, Lin D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Syst Signal Process 20:1483–1510

    CrossRef  Google Scholar 

  3. Wang L, Mehrabi MG (2002) Hidden Markov model-based tool wear monitoring in machining. ASME J Manufact Sci Eng 124:651–658

    CrossRef  Google Scholar 

  4. Lee JM, Kim SJ, Hwang Y et al (2004) Diagnosis of mechanical fault signals using continuous hidden Markov model. J Sound Vib 27(6):1065–1080

    CrossRef  Google Scholar 

  5. Scholkopf B, Smola A, Muller KR (1999) Kernel principal component analysis. Advances in Kernel methods-support vector learning. MIT Press, Cambridge M A, pp 327–352

    Google Scholar 

Download references

Acknowledgements

This work is supported by the national key research and development program of China “Typical storage of dangerous chemicals safety warning and protection integration key technology research and application demonstration (2016YFC0801200)”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wencai Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Liu, W., Wang, Q., Peng, Q. (2019). Analysis and Study on Operating Trend of the Rotor System of Oil Pump Unit. In: Shemwell, S., Lin, J. (eds) Proceedings of the International Petroleum and Petrochemical Technology Conference 2018. IPPTC 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-2173-3_5

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-2173-3_5

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2172-6

  • Online ISBN: 978-981-13-2173-3

  • eBook Packages: EnergyEnergy (R0)