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Synopsis
This book reports the recent study results in applying online signals and artificial intelligence for welding and laser additive manufacturing (AM). It provides insights on the fundament of quality monitoring and intelligent defect detections for welding and laser AM using arc sound and plasma spectral signals collected during the manufacturing processes. Analyzing respectively from a global and local perspective establishes a knowledge base of features characterizing welding statuses. Researchers, scientists, and engineers in intelligent welding and laser AM can benefit from the book. As such, this book provides valuable knowledge, valuable methods, and practical algorithms that can be considered in real-time defect detection for welding and laser AM.
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About the Author
Dr. Zhifen Zhang is Associate Professor in Department of Mechanical Engineering, Xi’an Jiaotong University (XJTU), Shaanxi, China. She has authored more than ten magazine articles, including those published in IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, Mechanical Systems and Signal Processing, and Journal of Materials Processing Technology. Her research interests include intelligent manufacturing, monitoring and defect prediction of the welding process, laser shock peening, multisensory data fusion and modeling, mechanical Fault detection and detection.
Dr. Guangrui Wen is currently a Full Professor of the School of Mechanical Engineering and the Executive Dean of the School of International Education in XJTU, China. He is also the Vice Dean of the Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing System, and the Vice Dean of National & Local Joint Engineering Research Center for Equipment Operation Safety Assurance and Intelligent Monitoring, China. Dr. Wen is a member of IEEE, the Chinese Mechanical Engineering Society (CIME), the Chinese Society for Vibration Engineering (CSVE), and the Executive Director and Deputy Secretary-General of the Dynamic Test Professional Committee of CSVE.
Dr.Wenjing Ren is currently an associate researcher at the School of Materials Science and Engineering, Tianjin University, Tianjin, China. She has published more than 30 academic papers in journals including IEEE Transactions on Industrial Informatics, Additive Manufacturing, Materials Science and Engineering: A. Her research interests include automatic welding, in-situ monitoring and defect prediction of welding, and metal additive manufacturing.
From the Back Cover
This book reports the recent study results in applying online signals and artificial intelligence for welding and laser additive manufacturing (AM). It provides insights on the fundament of quality monitoring and intelligent defect detections for welding and laser AM using arc sound and plasma spectral signals collected during the manufacturing processes. Analyzing respectively from a global and local perspective establishes a knowledge base of features characterizing welding statuses. Researchers, scientists, and engineers in intelligent welding and laser AM can benefit from the book. As such, this book provides valuable knowledge, valuable methods, and practical algorithms that can be considered in real-time defect detection for welding and laser AM.
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Multiple Sensing-Driven Feature Extraction and Defect Detection
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Springer Nature Singapore, Springer Nature Singapore Jun 2025, 2025
ISBN 10: 9819648076
ISBN 13: 9789819648078
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reports the recent study results in applying online signals and artificial intelligence for welding and laser additive manufacturing (AM). It provides insights on the fundament of quality monitoring and intelligent defect detections for welding and laser AM using arc sound and plasma spectral signals collected during the manufacturing processes. Analyzing respectively from a global and local perspective establishes a knowledge base of features characterizing welding statuses. Researchers, scientists, and engineers in intelligent welding and laser AM can benefit from the book. As such, this book provides valuable knowledge, valuable methods, and practical algorithms that can be considered in real-time defect detection for welding and laser AM. 184 pp. Englisch. Seller Inventory # 9789819648078
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reports the recent study results in applying online signals and artificial intelligence for welding and laser additive manufacturing (AM). It provides insights on the fundament of quality monitoring and intelligent defect detections for welding and laser AM using arc sound and plasma spectral signals collected during the manufacturing processes. Analyzing respectively from a global and local perspective establishes a knowledge base of features characterizing welding statuses. Researchers, scientists, and engineers in intelligent welding and laser AM can benefit from the book. As such, this book provides valuable knowledge, valuable methods, and practical algorithms that can be considered in real-time defect detection for welding and laser AM. Seller Inventory # 9789819648078
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Multiple Sensing-Driven Feature Extraction and Defect Detection
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Springer, Springer Jun 2025, 2025
ISBN 10: 9819648076
ISBN 13: 9789819648078
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reports the recent study results in applying online signals and artificial intelligence for welding and laser additive manufacturing (AM). It provides insights on the fundament of quality monitoring and intelligent defect detections for welding and laser AM using arc sound and plasma spectral signals collected during the manufacturing processes. Analyzing respectively from a global and local perspective establishes a knowledge base of features characterizing welding statuses. Researchers, scientists, and engineers in intelligent welding and laser AM can benefit from the book. As such, this book provides valuable knowledge, valuable methods, and practical algorithms that can be considered in real-time defect detection for welding and laser AM.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 184 pp. Englisch. Seller Inventory # 9789819648078
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Multiple Sensing-Driven Feature Extraction and Defect Detection
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Gebundene Ausgabe. Condition: Neu. This book reports the recent study results in applying online signals and artificial intelligence for welding and laser additive manufacturing (AM). It provides insights on the fundament of quality monitoring and intelligent defect detections for welding and laser AM using arc sound and plasma spectral signals collected during the manufacturing processes. Analyzing respectively from a global and local perspective establishes a knowledge base of features characterizing welding statuses. Researchers, scientists, and engineers in intelligent welding and laser AM can benefit from the book. As such, this book provides valuable knowledge, valuable methods, and practical algorithms that can be considered in real-time defect detection for welding and laser AM. Sprache: Englisch Gewicht in Gramm: 429. Seller Inventory # IB-3880123
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