Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic
TEPEN2024-IWFDP - Volume 1
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Beschreibung
This book gathers the latest advances, innovations, and applications in the field of efficiency and performance engineering, as presented by leading international researchers and engineers at the TEPEN International Workshop on Fault Diagnostics and Prognostics (TEPEN-IWFDP), held in Qingdao, China on May 8–11, 2024. Topics include machine and structural health monitoring, non-destructive testing and fault detection, diagnostic and prognostic for both operational and manufacturing processes, maintenance optimization and asset management, smart metamaterials and metastructures, artificial intelligence, and machine learning. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.
This book gathers the latest advances, innovations, and applications in the field of efficiency and performance engineering, as presented by leading international researchers and engineers at the TEPEN International Workshop on Fault Diagnostics and Prognostics (TEPEN-IWFDP), held in Qingdao, China on May 8–11, 2024. Topics include machine and structural health monitoring, non-destructive testing and fault detection, diagnostic and prognostic for both operational and manufacturing processes, maintenance optimization and asset management, smart metamaterials and metastructures, artificial intelligence, and machine learning. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.
Presents recent trends in efficiency and performance engineering Written by leading experts in the field Offers essential insights into a wide range of topics
Autor*in
Bingyan Chen
Themen in »Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic«
Condition Monitoring Reliability Plant Maintenance Manufacturing Processes Diagnostic Engineering Asset Management Machine Health Monitoring