Alternating Current Field Measurement Technique for Detection and Measurement of Cracks in Structures

Author:   Wei Li ,  Xin'an Yuan ,  Jianming Zhao ,  Xiaokang Yin
Publisher:   Springer Verlag, Singapore
Edition:   2025 ed.
ISBN:  

9789819772544


Pages:   148
Publication Date:   22 September 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Alternating Current Field Measurement Technique for Detection and Measurement of Cracks in Structures


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Overview

This open access book serves as a comprehensive exploration of Alternating Current Field Measurement (ACFM), encompassing the foundational theory crucial for subsequent chapters, as well as the design and testing of ACFM probes, instruments, and software. Providing guidance and serving as a reference for ACFM instrument development, the text delves into visualization research in ACFM, offering valuable insights for technical engineering applications. Nondestructive testing (NDT) emerges as a pivotal method for detecting and assessing defects, offering support for safety pre-warning and maintenance decisions in industrial structures. Originating from the 1980s, the demand for an NDT technique arose to inspect fatigue cracks at welded intersections in offshore underwater structures in the North Sea. Conventional NDT methods proved impractical in this distinct underwater environment with quantitative evaluation requirements, prompting the development of the ACFM technique by researchers in the mechanical engineering department at University College London. Over the past four decades, ACFM's theory model, inspection methods, and equipment have undergone rapid advancements, gaining widespread utilization in ocean engineering, the power industry, rail traffic, and special equipment fields. This book encompasses diverse facets, including the global development history of alternating current field measurement technology, core basic theory, signal processing methods, probe instrument development, standardization construction, and engineering applications. Serving as a valuable learning reference for students and offering fundamental theoretical guidance for scientific researchers, it also provides case introductions for engineering applications. The book aims to propel both theoretical research and practical applications of alternating current field measurement technology, contributing significantly to its popularization and widespread application.

Full Product Details

Author:   Wei Li ,  Xin'an Yuan ,  Jianming Zhao ,  Xiaokang Yin
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Nature
Edition:   2025 ed.
ISBN:  

9789819772544


ISBN 10:   9819772540
Pages:   148
Publication Date:   22 September 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Research on Real-time and High- precision Cracks Inversion Algorithm for ACFM Based on GA-BP Neural Network.- Identification of Tiny Surface Cracks in a Rugged Weld by Signal Gradient Algorithm using the ACFM Technique.- Visual Evaluation of Irregular Cracks in Steel by Double Gradient Fusion Algorithm using Composite ACFM-MFL Testing Method.- Design and Experiment Research of Oblique Crack Detection System for Rail Tread Based on ACFM Technique.- Design and testing of high-resolution probe arrays using Alternating Current Field Measurement technique.- Design and experimental study of inner uniform electromagnetic probe in stainless steel pipe.- Research on the detection of surface cracks on drilling riser using the chain alternating current field measurement probe array.- An electromagnetic Helmholtz-coil probe for arbitrary orientation crack detection on the surface of pipeline.- Circumferential Current Field Testing System with TMR Sensor Array for Non-contact Detection and Estimation of Cracks on Power Plant Piping.

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Author Information

Wei Li (Member, IEEE) received the Ph.D. degree in mechanical and electronics engineering from the China University of Petroleum (East China), Qingdao, China, in 2007. Following graduation, he joined the China University of Petroleum (East China), where he is currently a Professor of mechanical and electronics engineering. His current research interests include electromagnetic nondestructive evaluation and signal processing, offshore engineering structure design and finite-element method analysis, and pipeline safety and reliability assessment.  Xin’an Yuan was born in Nanyang, China, on March 12,1990. He received the B.E., M.E., and Ph.D. degrees in mechanical design manufacture and automation from the China University of Petroleum (East China), Qingdao, China, in 2013,2016, and 2019, respectively. Following graduation, he joined the China University of Petroleum (East China), where he is currently an Associate Professor with the Research Institute of Center for Offshore Engineering and Safety Technology. His research interests include nondestructive testing, signal processing, and deep learning. Jianming Zhao received the Ph.D. degree in mechanical engineering in 2023 from the China University of Petroleum (East China), Qingdao, China. His research interests include signal processing, inversion imaging, and deep learning.  Xiaokang Yin (Senior Member, IEEE) received the B.E. degree in information engineering from the East China University of Science and Technology, Shanghai, China, in 2005, and the M.S. degree in advanced electronic engineering and the Ph.D. degree in engineering from the University of Warwick, Coventry, U.K., in 2007 and 2011, respectively. In 2011, he joined the China University of Petroleum (East China), Qingdao, China, where he is currently a Professor of mechanical and electronic engineering. Xiao Li received the Ph.D. degree in mechanical engineering from the Dalian University of Technology, Dalian, China, in 2019. He is currently a Associate Professor with the China University of Petroleum (East China), Qingdao,China. His research interests include machine vision and contouring detection for machine tools.

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