Noise reduction for oil pipeline pressure time series based on wavelet filtering technology

Noise reduction for oil pipeline pressure time series based on wavelet filtering technology

Discrete wavelet transforms

Filtering

Fluctuations

Layout

Leak detection

leak detection & location

lifting WT

Lubricating oils

Noise reduction

Petroleum

Pipelines

signal denoising

UWT

Wavelet analysis

Since the pressure fluctuation signals are masked by noise and can not be detected, the oil pipeline leakage detection method is not satisfactory on small leakage problem, without more accurate warning and location. This paper uses discrete wavelet transform (DWT), lifting wavelet transform (lifting WT) and undecimated wavelet transform (UWT) to denoise the noisy signals collected in the pipeline leakage scene, and analyzes the simulation results respectively. The results show that the signal denoising methods based on lifting WT and UWT are much more effective than that on DWT. Through the conclusion, it is easier to find and locate the singular point while applying lifting WT and UWT.

1507-1512

J. Liu

X. Li

H. Zhang

D. Liu

2009 IEEE International Conference on Automation and Logistics

2009

conferencePaper

2161-816X