Effect of Scanning Acceleration on the Leakage Signal in Magnetic Flux Leakage Type of Non-destructive Testing [PDF]
Journal of Nondestructive Evaluation, 2023 AbstractThis work investigates the influence of acceleration on the leakage signal in magnetic flux leakage type of non-destructive testing. The research is addressed through both designed experiments and simulations. The results showed that the leakage signal, represented by using peak to peak value, decreases between 15.1% and 26.6% under ...
Paul Ledger +2 more
exaly +8 more sources
Theory and Application of Magnetic Flux Leakage Pipeline Detection
Sensors, 2015 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 ...
Yan Shi +4 more
doaj +4 more sources
Detection of uniaxial fatigue stress under magnetic flux leakage signals using Morlet wavelet [PDF]
Fracture and Structural Integrity, 2022 This paper demonstrates the application of continuous wavelet transform technique for magnetic flux leakage signal generated during a uniaxial fatigue test.
S.M. Firdaus +4 more
doaj +4 more sources
Research on the Analytical Model of Improved Magnetic Flux Leakage Signal for the Local Stress Concentration Zone of Pipelines. [PDF]
Sensors (Basel), 2022 Local stress concentrations pose a significant hazard to the safe operation of pipelines. However, the classical analytical model of the magnetic flux leakage (MFL) signal is still unable to effectively quantitatively analyze and accurately evaluate the ...
Yang L, Zheng F, Huang P, Bai S, Su Y.
europepmc +2 more sources
A Novel Defect Quantification Method Utilizing Multi-Sensor Magnetic Flux Leakage Signal Fusion. [PDF]
Sensors (Basel)In the assessment of pipeline integrity using magnetic flux leakage (MFL) detection, it is crucial to quantify defects accurately and efficiently using MFL signals.
Liu W, Ren L, Tian G.
europepmc +2 more sources
Defect profile estimation from magnetic flux leakage signal via efficient managing particle swarm optimization. [PDF]
Sensors (Basel), 2014 In this paper, efficient managing particle swarm optimization (EMPSO) for high dimension problem is proposed to estimate defect profile from magnetic flux leakage (MFL) signal.
Han W, Xu J, Wang P, Tian G.
europepmc +2 more sources
Quantitative method of pipeline magnetic leakage internal signal detection on the basis of an improved neural network. [PDF]
Sci RepIn response to the problem of poor quantification ability and unclear feature correlation of pipeline defect magnetic flux leakage signals, a neural network is proposed to establish the relationship between the characteristic quantities of pipeline ...
Wang G, Bei S, Zuo Y, Zhang H.
europepmc +2 more sources
A structure-preserving diffusion-based zero-shot learning framework for multimodal magnetic flux leakage signal analysis. [PDF]
Sci RepAddressing the core challenges of weak defect signatures and difficult unknown defect identification in magnetic flux leakage (MFL) inspection of large-bore pipelines, this study proposes an intelligent detection method that integrates a Zero-Shot ...
Dou Q, Ren C.
europepmc +2 more sources
Eddy-Current-Induced Waveform Reconstruction by Metallic Probe Carriers in Magnetic Flux Leakage Inspection. [PDF]
Sensors (Basel)Metallic probe carriers are commonly used in magnetic flux leakage (MFL) inspection to support sensing elements and maintain lift-off, but a conductive carrier located near the sensor can act as an active electromagnetic boundary. This study investigates
Jiang X, Jia B, Sun Y.
europepmc +2 more sources
Sensors, 2023 Pipeline magnetic flux leakage inspection is widely used in the evaluation of material defect detection due to its advantages of having no coupling agent and easy implementation.
Pengfei Gao +3 more
doaj +1 more source