Defect detection and identification in eddy current testing using subtractive clustering algorithm combined with RBFNN

2014 ◽  
Vol 56 (7) ◽  
pp. 375-380 ◽  
Author(s):  
Liu Banteng ◽  
Hou Dibo ◽  
Liu Baoling ◽  
Zhao Ling ◽  
Huang Pingjie ◽  
...  
Keyword(s):  
Defect Detection ◽  
Eddy Current ◽  
Clustering Algorithm ◽  
Eddy Current Testing ◽  
Subtractive Clustering ◽  
Current Testing ◽  
Detection And Identification

scholarly journals Study on the Optimization of Eddy Current Testing Coil and the Defect Detection Sensitivity

2015 ◽  
Vol 130 ◽  
pp. 1649-1657 ◽  
Author(s):  
H.T. Zhou ◽  
K. Hou ◽  
H.L. Pan ◽  
J.J. Chen ◽  
Q.M. Wang
Keyword(s):  
Defect Detection ◽  
Eddy Current ◽  
Eddy Current Testing ◽  
Detection Sensitivity ◽  
Current Testing

scholarly journals Edge Effect Analysis and Edge Defect Detection of Titanium Alloy Based on Eddy Current Testing

2020 ◽  
Vol 10 (24) ◽  
pp. 8796
Author(s):  
Yuedong Xie ◽  
Jiyao Li ◽  
Yang Tao ◽  
Shupei Wang ◽  
Wuliang Yin ◽  
...  
Keyword(s):  
Titanium Alloy ◽  
Edge Effect ◽  
Defect Detection ◽  
Eddy Current ◽  
Crack Detection ◽  
Simulation Method ◽  
Eddy Current Testing ◽  
Detection Capability ◽  
Edge Defect ◽  
Current Testing

Titanium alloy is widely used in the area of aerospace and aviation due to its excellent properties. Eddy current testing (ECT) is among the most extensively used non-destructive techniques for titanium alloy material inspection. However, most previous research has focused on inspecting defects far from the edge of the material. It is a challenging task for edge crack detection because of edge effect. This study aims to investigate the influences of sensor parameters on edge effect and defect detection capability, and in the meantime, optimize sensor parameters to improve the capability of edge defect detection. The simulation method for edge effect evaluation is proposed including the 2k factorial design used for factor screening, and the regression model is fitted and validated for sensor design and optimization for edge defect detection. A simulation scheme is designed to investigate the defect detection capability. An approach comprehensively analyzing the influence of coil parameters on edge effect and defect detection capability is applied to determine the optimal coil parameters for edge defect detection.

The Applied Research of System Subtractive Clustering RBF Algorithm in Eddy Current Testing on the Conductive Structure Defect

2013 ◽  
Vol 712-715 ◽  
pp. 2030-2034
Author(s):  
Ban Teng Liu ◽  
Ping Jie Huang ◽  
Guang Xin Zhang
Keyword(s):  
Eddy Current ◽  
Applied Research ◽  
Eddy Current Testing ◽  
Quantitative Detection ◽  
Subtractive Clustering ◽  
Structure Defect ◽  
Initial Value ◽  
Rbf Network ◽  
Current Testing ◽  
Clustering Center

According the problem of defect type discrimination and quantitative detection of defect depth in eddy current testing (ECT) on the conductive structure defect. The text proposes a RBF optimization algorithm based on system subtractive clustering (SISCA),first of all, according to the likelihood of the data ,it uses the system clustering method to estimate the number of clustering center, and improves mathematical model of subtractive clustering to determine the clustering scheme, then takes the minimum of the largest distance variance in the cluster as evaluation index to obtain the optimal clustering information to provide the critical initial value for training RBF network. The facts proves improved RBF algorithm takes higher accuracy and more effectiveness in the experiment of ECT.

scholarly journals Comparison of defect detection limits in Lorentz force eddy current testing and classical eddy current testing

2018 ◽  
Vol 7 (2) ◽  
pp. 453-459 ◽  
Author(s):  
Jan Marc Otterbach ◽  
Reinhard Schmidt ◽  
Hartmut Brauer ◽  
Marek Ziolkowski ◽  
Hannes Töpfer
Keyword(s):  
Lorentz Force ◽  
Defect Detection ◽  
Eddy Current ◽  
Eddy Currents ◽  
Excitation Frequency ◽  
Detection Limits ◽  
Eddy Current Testing ◽  
Current Testing ◽  
Testing Method ◽  
Measurement Results

Abstract. Lorentz force eddy current testing (LET) is a motion-induced eddy current testing method in the framework of nondestructive testing. In this study, we address the question of how this method is classified in comparison with a commercial eddy current testing (ECT) measurement device ELOTEST N300 in combination with the probe PKA48 from Rohmann GmbH. Therefore, measurements using both methods are performed and evaluated. Based on the measurement results, the corresponding defect detection limits, i.e., up to which depth the defect can be detected, are determined and discussed. For that reason, the excitation frequency spectrum of the induced eddy currents in the case of LET is considered.

scholarly journals Defect detection in stainless steel tubes with AMR and GMR sensors using remote field eddy current inspection

ACTA IMEKO ◽  
2015 ◽  
Vol 4 (2) ◽  
pp. 62
Author(s):  
Artur Lopes Ribeiro ◽  
A. Lopes Ribeiro ◽  
Helena G. Ramos ◽  
Tiago J. Rocha
Keyword(s):  
Stainless Steel ◽  
Defect Detection ◽  
Eddy Current ◽  
High Sensitivity ◽  
Wheatstone Bridge ◽  
Eddy Current Testing ◽  
Experimental Measurements ◽  
Steel Tubes ◽  
Optimal Position ◽  
Current Testing

The purpose of this paper is to compare the performance of the giant magneto-resistor (GMR) and anisotropic magneto-resistor (AMR) sensors for remote field eddy current testing in stainless steel tubes. Two remote field eddy current probes were built to compare detection and characterization capabilities in standard defects like longitudinal and transverse defects. Both probes include a coil to produce a sinusoidal magnetic field that penetrates the tube wall. Each probe includes a detector with GMR and AMR sensors, where each sensor has four magneto-resistive elements configured in a Wheatstone bridge. Each sensor needs to be biased differently to operate in the high sensitivity linear mode. The description of the measurement system used to detect defects is present in the paper. For the choice of the detector optimal position, numerical simulation and experimental measurements were performed. For comparison of these sensors in defect detection using remote field eddy current testing, the experimental measurements were performed under the same conditions. The results are presented and discussed in the paper.

Probabilistic evaluation of detection capability of eddy current testing to inspect pitting on a stainless steel clad using multiple signal features

2020 ◽  
Vol 64 (1-4) ◽  
pp. 47-55
Author(s):  
Takuma Tomizawa ◽  
Haicheng Song ◽  
Noritaka Yusa
Keyword(s):  
Stainless Steel ◽  
Eddy Current ◽  
Pressure Vessels ◽  
Eddy Current Testing ◽  
Probability Of Detection ◽  
Current Testing ◽  
Multiple Signal ◽  
Signal Features ◽  
Inner Surface ◽  
Drill Holes

This study proposes a probability of detection (POD) model to quantitatively evaluate the capability of eddy current testing to detect flaws on the inner surface of pressure vessels cladded by stainless steel and in the presence of high noise level. Welded plate samples with drill holes were prepared to simulate corrosion that typically appears on the inner surface of large-scale pressure vessels. The signals generated by the drill holes and the noise caused by the weld were examined using eddy current testing. A hit/miss-based POD model with multiple flaw parameters and multiple signal features was proposed to analyze the measured signals. It is shown that the proposed model is able to more reasonably characterize the detectability of eddy current signals compared to conventional models that consider a single signal feature.

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