Multiple Sensing-Driven Feature Extraction and Defect Detection

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149,79 

ISBN: 9819648076
ISBN 13: 9789819648078
Autor: Zhang, Zhifen/Wen, Guangrui/Ren, Wenjing
Verlag: Springer Verlag GmbH
Umfang: xi, 169 S., 8 s/w Illustr., 121 farbige Illustr., 169 p. 129 illus., 121 illus. in color.
Erscheinungsdatum: 26.06.2025
Auflage: 1/2025
Produktform: Gebunden/Hardback
Einband: Gebunden
Artikelnummer: 5819552 Kategorie:

Beschreibung

Autorenporträt

Dr. Zhifen Zhang is Associate Professor in Department of Mechanical Engineering, Xian 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.  

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