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Data-Driven Fault Diagnosis for Complex Industrial Processes de Hongpeng Yin

Data-Driven Fault Diagnosis for Complex Industrial Processes: Engineering Applications of Computational Methods, cartea 22

Autor Hongpeng Yin, Han Zhou, Yi Chai, Qiu Tang
en Limba Engleză Hardback – 16 apr 2025
This book summarizes techniques of fault prediction, detection, and identification, all included specifically in the data-driven fault diagnosis requirements within industrial processes, drawing from the combination of data science, machine learning, and domain-specific expertise.
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Specificații

ISBN-13: 9789819631520
ISBN-10: 9819631521
Pagini: 224
Dimensiuni: 160 x 241 x 17 mm
Greutate: 0.5 kg
Editura: Springer
Colecția Engineering Applications of Computational Methods
Seria Engineering Applications of Computational Methods

Notă biografică

Hongpeng Yin received his Ph.D. degree from Chongqing University in 2009. He is currently a professor at Chongqing University. His research interests include data processing and analysis and its application in space engineering, industrial manufacturing, public security, medical treatment, etc. He has published more than 50 SCI/ EI indexed papers, including TII, TASE, information fusion, etc. He was awarded as an outstanding reviewer of information fusion, information sciences, and other journals. He is authorized over 20 invention patents and 15 software copyrights. He is awarded 4 provincial awards and is selected as Chongqing elite young top talent and Chongqing university scientific research top talent. Zhou Han received his doctoral degree (with honors) in 2024, from Chongqing University, China. He was also a special research student at the University of Tokyo from 2021 to 2023. He is currently a research fellow with Pengcheng Laboratory, Shenzhen, China. His research interests include machine learning, data mining and their applications on industrial health management. He has authorized more than 10 papers in top-tier journals/conferences, such as TII, RESS, IJCAI, and 4 patents. He received various awards/honors such as CAA Invention Award (2022), SMC and CSC Scholarship (2016, 2022-2023). He is the reviewer of IJIS, TII, PR, TAI, CCDC. Yi Chai received the Ph.D. degree in Department of Automation in Chongqing University, Chongqing, China, in 2001. He is currently a professor at Chongqing University. His main research interests are the nonlinear dynamic systems, signal processing, information fusion, fault detection and diagnosis, intelligence systems. He has published over 200 papers and holds more than 20 authorized invention patents. Additionally, he has authored two monographs and has received six provincial awards. Qiu Tang received her Ph.D. degree in Automation College from Chongqing University, Chongqing, in 2020. She was a postdoctoral researcher at the School of Control Science and Engineering at Shandong University, from 2021 to 2023. She has been an editor in Shandong University Scientific Journals Press, Shandong University. Her research interests include process monitoring, manifold learning and fault diagnosis.