Skip to main content
padlock icon - secure page this page is secure

Research on drilling mud pump fault diagnosis based on fusion of acoustic emission and vibration technology

Buy Article:

$22.00 + tax (Refund Policy)

A mud pump is one of the three key components of a drilling site and its lifetime and reliability are related to safety and cost. The fluid end, which mainly comprises the pump valve and piston, is the most easily damaged part of the mud pump. To ensure normal operation, the fault modes of the fluid end need to be effectively identified. In this paper, the fault mode is identified using multi-sensor information fusion, which fuses the acoustic emission (AE) signal and the vibration acceleration signal. The features of these signals are extracted using wavelet packet signal processing; then, the faults are diagnosed using neural network algorithms. This method is verified by conducting experiments on a BW-250 triplex mud pump and the results show that the wavelet packet signal processing method can effectively extract the frequency band energy eigenvalues of the signals and that the fault diagnosis accuracy is improved by using multi-sensor information fusion. This research presents a practical diagnosis method that can effectively improve the fault diagnosis level for the fluid end of high-pressure reciprocating mud pumps.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: ACOUSTIC EMISSION; DRILLING MUD PUMP; FAULT DIAGNOSIS; FLUID END; INFORMATION FUSION

Document Type: Research Article

Publication date: August 1, 2017

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more