Abstract
1 School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK 2School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China 3Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA 4Nondestructive Testing Department, National Institute of Research and Development for Technical Physics, 47 D. Mangeron Boulevard, 700050 Iasi, Romania 5Metallurgy and Materials Group, EMSI Section, NDE Division, Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam 603 102, India 6The Aeronautic Key Lab for Smart Materials and Structures, Nanjing University of Aeronautics and Astronautics Nanjing 210016, China
Highlights
The issue contains several papers dealing with the nondestructive testing and evaluation (NDT&E) of various types of ferromagnetic components
NDT&E and structural health monitoring (SHM) provide a means of identifying this damage and are often the only means of obtaining information about the current “health status” of a structure, through the installation of appropriate novel sensor technologies
This special issue is devoted to the important area of sensor technology for NDT&E and SHM, aiming to cover diverse aspects such as novel sensing methods, smart structures, sensor arrays and distributed sensors, advanced signal processing for sensor systems, and sensors for device, structural, and environmental monitoring
Summary
The issue contains several papers dealing with the NDT&E of various types of ferromagnetic components. Editorial Advanced Sensor Technologies for Nondestructive Testing and Evaluation and Structural Health Monitoring The need for monitoring the condition of critical structural components, that is, structural health monitoring (SHM), combined with increased requirements for the safety and quality of components, has resulted in the development of nondestructive testing and evaluation (NDT&E) and nondestructive evaluation (NDE) methods for characterising materials and detecting the presence of defects.
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