TY  - BOOK
AU  - Liu,Tongtong
AU  - Zhang,Fan
AU  - Huang,Shiqing
AU  - Wang,Jingjing
AU  - Gu,Fengshou
ED  - SpringerLink (Online service)
TI  - Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic: TEPEN2024-IWFDP - Volume 3 
T2  - Mechanisms and Machine Science,
SN  - 9783031694837
AV  - TA352-356 
U1  - 620.3 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Multibody systems
KW  - Vibration
KW  - Mechanics, Applied
KW  - Machinery
KW  - Industrial engineering
KW  - Production engineering
KW  - Multibody Systems and Mechanical Vibrations
KW  - Machinery and Machine Elements
KW  - Industrial and Production Engineering
N1  - Welding Quality Target Detection Based on YOLOv9 Lightweight Model -- A new residual network for bearing fault diagnosis in strong noise background -- A Review of Short-term Wind Power Forecasting Based on Artificial Intelligence Methods -- Lightweight-based defect detection for small target insulators -- Research On Buck Converter Based On Double Closed-loop ADRC
N2  - This volume 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 intelligent 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-69483-7
ER  -