Magnetic Flux Leakage

This book systematically introduces magnetic flux leakage testing principles and their applications in practice. Signal detection, collection, processing, the inversion of magnetic flux leakage defect and 3D imaging are discussed in detail with extensive project experiences, making the book an essential reference for researchers, developers and engineers in nondestructive testing.

Auteur

Songling Huang, Wei Zhao, Tsinghua University, Beijing, China

Résumé
Table of Content:
Chapter 1 Introduction
1.1 Introduction
1.2 Factors affecting the magnetic flux leakage testing
1.3 Researches on quantitative inversion of magnetic flux leakage defect
Chapter 2 Detection signal processing
2.1 Data acquisition and storage
2.2 Data compression and de-noisie
Chapter 3 Quantitative inversion of magnetic flux leakage defect
3.1 Introduction
3.2 Defect quantification based on statistical methods
3.3 Neural network quantification methods based on radial basis function
3.4 Three-dimensional finite element neural network quantification method
Chapter 4 Inversion of magnetic flux leakage deficiencies data
4.1 Characteristics of three-dimensional magnetic flux leakage signal
4.2 Random search iterative inversion
4.3 Neural network iterative inversion
4.4 Progressive successive approximation inversion
4.5 Sampling effect on inversion accuracy
Chapter 5 3-demensional imaging in magnetic flux leakage testing
5.1 Characteristics of three-dimensional magnetic flux leakage signals
5.2 Quantification for complete signals
5.3 Quantification for incomplete signals
Reference