A fault diagnosis method for coal slurry pipeline blockage based on improved threshold wavelet denoising

Authors

  • Li Dong College of Electrical and Control Engineering Xi’an University of Science and Technology Xi’an Shanxi, China
  • Li Xiaoping College of Electrical and Control Engineering Xi’an University of Science and Technology Xi’an Shanxi, China

Abstract

A diagnostic method of coal slurry pipeline blockage based on improved wavelet denoising is proposed in view of the problem
of blockage in the coal slurry pipeline transportation. First, the pressure signals collected from pressure sensors are improved by
wavelet denoising on the basis of the pipeline pressure wave location Analysis of these things are performed. Second, the wavelet
transform can be used to detect the abrupt point of the pressure signal, so the velocity and time difference of the pressure wave can be determined. The position of the plugging point can then be accurately determined. Thirdly, the mathematical model of the blockage area of coal pipe blockage is established. At last, the experimental platform experiment of the slime pipe by a proportion of 100:1 is carried out. The simulation and experimental results show that the algorithm can be used to diagnose the plugging fault of the viscous pipeline system.

Keywords: Blocking fault detection, Improved threshold wavelet de-noising, Mutation point detection, Blockage area modeling

Cite As

L. Dong, L. Xiaoping, "A fault diagnosis method for coal slurry pipeline blockage based on improved threshold
wavelet denoising", Engineering Intelligent Systems, vol. 26 no. 1, pp. 27-33, 2018.






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Published

2018-03-01

Issue

Vol. 26 No. 1 (2018): International Journal of Engineering Intelligent Systems

Section

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