Research on noise reduction method of MFL signal of small diameter tube under large vibration environment

In the process of magnetic flux leakage (MFL) online inspection of coiled tubing (CT), vibration interference was easy to occur. It has caused signal distortion and affects the detection accuracy. How to obtain high quality MFL signal is of great significance to CT inspection. The calculation model of MFL characteristic signal under different lifting-off and shaking conditions was established to study the signal response rule of CT MFL detection under complex vibration conditions. Based on the advantages and disadvantages of traditional wavelet threshold/improved function, a new noise reduction algorithm based on weighted hard and soft thresholds and notch multistage filtering is proposed. The algorithm model was verified by experiments. The results provide theoretical support for CT inspection under vibration environment.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-12-01
DOI
https://doi.org/10.1049/icp.2025.3352
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on noise reduction method of MFL signal of small diameter tube under large vibration environment

Hong Tang, Zhaoming Zhou, Jia Zhang, GR Jiang et al.
IET conference proceedings.
Non-Destructive Testing Techniques
article

Research on noise reduction method of MFL signal of small diameter tube under large vibration environment

Hong Tang, Zhaoming Zhou, Jia Zhang, GR Jiang, Xiaojun Xu
article en

Abstract

In the process of magnetic flux leakage (MFL) online inspection of coiled tubing (CT), vibration interference was easy to occur. It has caused signal distortion and affects the detection accuracy. How to obtain high quality MFL signal is of great significance to CT inspection. The calculation model of MFL characteristic signal under different lifting-off and shaking conditions was established to study the signal response rule of CT MFL detection under complex vibration conditions. Based on the advantages and disadvantages of traditional wavelet threshold/improved function, a new noise reduction algorithm based on weighted hard and soft thresholds and notch multistage filtering is proposed. The algorithm model was verified by experiments. The results provide theoretical support for CT inspection under vibration environment.

IET conference proceedings.Vol. 2025(30)
Southwest Petroleum University (CN), State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (CN), Gas Technology Institute (US), China National Petroleum Corporation (China) (CN)
Openalex Percentile: Top 61%
Non-Destructive Testing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on noise reduction method of MFL signal of small diameter tube under large vibration environment — Hong Tang, Zhaoming Zhou, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS