Magnetic Flux Leakage

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

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