http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Transient electromagnetic-thermal nondestructive testing
pulsed eddy current and transient eddy current thermography
Annotation Transient Electromagnetic-Thermal Nondestructive Testing: Pulsed Eddy Current and Transient Eddy Current Thermography covers three key areas of theories, methods and applications, primarily the multi-physics field, including eddy current, heat conduction and Infrared radiation for defect evaluation, lateral heat conduction, which is analyzed to detect parallel cracks, and longitudinal heat conduction, which is analyzed to detect depth defect, or that which is beyond skin depth. In addition, the book explores methods, such as time domain, frequency domain and logarithm domain, also comparing A-scan, B-scan and C-scan. Sections on defect identification, classification and quantification are covered, as are advanced algorithms, principal components analysis (PCA), independent components analysis (ICA) and support vector machine (SVM). The book uses a lot of experimental studies on multi-layer aluminum structures, honeycomb structure, CFRP in the aerospace field, and steel and coating in the marine rail and transportation fields. Presents two kinds of transient NDT testing, from theory and methodology, to applicationsIncludes time domain frequency domain and logarithm domain, which are all analyzedIntroduces A-scan, B-scan and C-scan, which are compared Provides experimental studies for real damages, including corrosion and blister in steel, stress in aluminum, impact and delamination in CFRP laminates and RCF cracks are abundant.
Cover; Title Page; Copyright Page; Contents; Preface; Acknowledgments; Abbreviations; Chapter 1 -- Nondestructive Testing and Transient Electromagnetic-Thermal NDT; Part I -- Pulsed Eddy Current; Chapter 2 -- Magnetic Sensor Based Pulsed Eddy Current for Defect Detection and Characterization; 2.1 -- Introduction to PEC; 2.2 -- Magnetic sensor based PEC systems; 2.2.1 -- Electronics Design; 2.2.1.1 -- Excitation Waveform Generator; 2.2.1.2 -- Excitation Circuits; 2.2.1.3 -- Magnetic Sensors; 2.2.1.4 -- Signal Conditioning and Data Acquisition; 2.2.2 -- Probe Design; 2.3 -- Signal processing software.
2.3.1 -- Signal Feature Extractions2.3.2 -- PCA-Based Feature Extraction; 2.3.3 -- Wavelet-Based PCA; 2.4 -- Inspection of nonferromagnetic samples; 2.4.1 -- Sample Thickness Measurement; 2.4.2 -- Inspection of Surface Discontinuities; 2.4.3 -- Inspection of Subsurface Discontinuities; 2.4.4 -- Flaw Classification and Quantification; 2.4.4.1 -- Conventional Approach; 2.4.4.2 -- PCA; 2.4.4.3 -- Wavelet-Based PCA; 2.4.4.4 -- Flaw Quantification; 2.5 -- Inspection of ferromagnetic samples; 2.5.1 -- PEC and Magnetic Saturation; 2.5.2 -- Penetration Depth Test.
2.5.3 -- Inspection of Surface and Subsurface DefectsChapter 3 -- Hall-Device-Based PEC Features for Material Properties Evaluation and Defect Detection; 3.1 -- Feature extraction in the time domain; 3.1.1 -- PEC Response and Features in the Time Domain; 3.1.2 -- PEC Response and Features of Different Properties; 3.2 -- Stress measurement using time-domain features; 3.2.1 -- The PEC System; 3.2.2 -- Stress Measurement; 3.3 -- Corrosion evaluation and development prediction; 3.3.1 -- Corrosion and Samples; 3.3.2 -- PEC Results; 3.4 -- Scanning PEC for honeycomb evaluation; 3.4.1 -- Specimens.
3.4.2 -- Honeycomb Structure Specimen 13.4.3 -- Honeycomb Structure Specimen 2; 3.5 -- Scanning PEC for CFRP impact evaluation; Chapter 4 -- Coil-Based Rectangular PEC Sensors for Defect Classification; 4.1 -- Rectangular PEC sensors and feature extraction; 4.1.1 -- Rectangular PEC Sensors; 4.1.2 -- Time- and Frequency-Domain Features Extraction; 4.1.3 -- Scanning Imaging Based on a Rectangular PEC Sensor; 4.1.3.1 -- Specimens; 4.1.3.2 -- Defect Quantification; 4.2 -- Defect classification under different directions; 4.2.1 -- Peak Waves in Different Directions; 4.2.2 -- Classification Results.
4.3 -- Defect classification under variations of lift-off4.3.1 -- Background; 4.3.2 -- Experimental Setup; 4.3.3 -- Defect Classification in the Time Domain; 4.3.4 -- Defect Classification in the Frequency Domain; 4.4 -- PCA with frequency-domain responses for defect classification in multilayer structures; 4.4.1 -- Methods of PCA with Frequency Response; 4.4.1.1 -- Background; 4.4.1.2 -- Experimental Setup; 4.4.1.3 -- Feature Extraction from Frequency Response; 4.4.1.4 -- PCA-Based Classification Method; 4.4.1.5 -- Frequency Band Selection; 4.4.2 -- Defect Classification Results with Various Air Gaps.
4.4.2.1 -- Defect Classification Using the Proposed Features.
Yunze He, Bin Gao, Ali Sophian, Ruizhen Yang.
Includes bibliographical references and index.