Transient electromagnetic-thermal nondestructive testing : pulsed eddy current and transient eddy current thermography /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: He, Yunze
Otros Autores: Gao, Bin, Sophian, Ali, Yang, Ruizhen
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge : Elsevier, 2017.
Temas:
Eddy current testing.
Nondestructive testing.
Materials > Testing.
Thermal conductivity.
Thermal Conductivity
Essais par courants de Foucault.
Contr�ole non destructif.
Mat�eriaux > Essais.
Conductivit�e thermique.
nondestructive testing.
thermal conductivity.
TECHNOLOGY & ENGINEERING > Engineering (General)
TECHNOLOGY & ENGINEERING > Reference.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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