TEPEN2024-IWFDP - Volume 3 Liu, Tongtong. editor. edt http://id.loc.gov/vocabulary/relators/edt Zhang, Fan. editor. edt http://id.loc.gov/vocabulary/relators/edt Huang, Shiqing. editor. edt http://id.loc.gov/vocabulary/relators/edt Wang, Jingjing. editor. edt http://id.loc.gov/vocabulary/relators/edt Gu, Fengshou. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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electronic resource

access X, 597 p. 372 illus., 315 illus. in color. online resource. 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. 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. edited by Tongtong Liu, Fan Zhang, Shiqing Huang, Jingjing Wang, Fengshou Gu. Multibody systems Vibration Mechanics, Applied Machinery Industrial engineering Production engineering Multibody Systems and Mechanical Vibrations Machinery and Machine Elements Industrial and Production Engineering TA352-356 9783031694837 https://doi.org/10.1007/978-3-031-69483-7 https://doi.org/10.1007/978-3-031-69483-7 240903 20251030112935.0 978-3-031-69483-7