The No1 Ethical retailer for Books, CD’s, DVD’s & Games
30 Day Refund Guarantee

Magnetic Flux Leakage: Theories and Imaging Technologies (Advances in Electrical and Electronic Engineering)

Magnetic Flux Leakage: Theories and Imaging Technologies (Advances in Electrical and Electronic Engineering)

by Tsinghua University Press (Contributor), Wei Zhao (Author), Songling Huang (Author)

  • New

    Hardcover 2016

    $194.44
Synopsis

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.

$194.44

Quantity

20+ in stock

More Information

Format: Hardcover
 Pages: 242
 Publisher: De Gruyter
Published: 07 Nov 2016
ISBN 10: 3110477017
ISBN 13: 9783110477016

Media Reviews
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
Author Bio
Songling Huang, Wei Zhao, Tsinghua University, Beijing, China