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Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic: TEPEN2024-IWFDP - Volume 3 2024 ed. [Hardback]

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  • Formāts: Hardback, 597 pages, height x width: 235x155 mm, 315 Illustrations, color; 57 Illustrations, black and white; X, 597 p. 372 illus., 315 illus. in color., 1 Hardback
  • Sērija : Mechanisms and Machine Science 169
  • Izdošanas datums: 04-Sep-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031694821
  • ISBN-13: 9783031694820
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  • Hardback
  • Cena: 252,18 €*
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Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic: TEPEN2024-IWFDP - Volume 3 2024 ed.Palielināt
  • Formāts: Hardback, 597 pages, height x width: 235x155 mm, 315 Illustrations, color; 57 Illustrations, black and white; X, 597 p. 372 illus., 315 illus. in color., 1 Hardback
  • Sērija : Mechanisms and Machine Science 169
  • Izdošanas datums: 04-Sep-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031694821
  • ISBN-13: 9783031694820
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031694820.html
Keywords:

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.