Theory and Application of Magnetic Flux Leakage Pipeline Detection

نویسندگان

  • Yan Shi
  • Chao Zhang
  • Rui Li
  • Maolin Cai
  • Guanwei Jia
چکیده

Magnetic flux leakage (MFL) detection is one of the most popular methods of pipeline inspection. It is a nondestructive testing technique which uses magnetic sensitive sensors to detect the magnetic leakage field of defects on both the internal and external surfaces of pipelines. This paper introduces the main principles, measurement and processing of MFL data. As the key point of a quantitative analysis of MFL detection, the identification of the leakage magnetic signal is also discussed. In addition, the advantages and disadvantages of different identification methods are analyzed. Then the paper briefly introduces the expert systems used. At the end of this paper, future developments in pipeline MFL detection are predicted.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

New Techniques for the Quantification of Defects Through Pulsed Magnetic Flux Leakage

Although the probability of defect detection using magnetic flux leakage (MFL) inspection is sufficient for most applications for which it is used; inspection of ferromagnetic pipeline, wire rope, etc., accurate defect characterisation is problematic. The use of pulsed excitation in conjunction with MFL provides an opportunity for the extraction of depth information from the MFL signal using an...

متن کامل

Effect of Lift-off on Pipeline Magnetic Flux Leakage Inspection

On pipeline magnetic flux leakage (MFL) inspection, welds and debris are present in all pipelines and cause lift-off of the sensors and/or the magnetizer of the magnetic flux leakage inspection tool, and have the potential to affect the acquired magnetic flux leakage data. By adopting ANSYS software to simulate the effect of lift-off on the MFL signal. The results of this research indicate that...

متن کامل

Magnetic Flux Leakage and Principal Component Analysis for metal loss approximation in a pipeline

Safety and reliability of hydrocarbon transportation pipelines represent a critical aspect for the Oil an Gas industry. Pipeline failures caused by corrosion, external agents, among others, can develop leaks or even rupture, which can negatively impact on population, natural environment, infrastructure and economy. It is imperative to have accurate inspection tools traveling through the pipelin...

متن کامل

MLP for Defect Detection from Power Plants Flow Pipelines Equipped by Principal Component Analysis

This research effort proposes an intelligent control approach for Defect detection of flow pipelines in power plants by applying Multilayer Perceptron (MLP) for classification by which equipped with Principal Component Analysis (PCA). This fusion has been applied to have an intelligent defect detection algorithm of power plants flow pipelines. Among various methods of Non Destructive Testing (N...

متن کامل

The detection and segmentation of pipeline inspection features for diagnostically lossless data compression

In this paper we discuss the characteristics of pipeline features, e.g. welds, cracks and erosion objects, and present a method for the diagnostically lossless compression of Transverse Field Inspection (TFI) data, a new type of pipeline inspection data in contrast to the traditional Magnetic Flux Leakage (MFL) inspection data.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 15  شماره 

صفحات  -

تاریخ انتشار 2015