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Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic [electronic resource] : TEPEN2024-IWFDP - Volume 3 / edited by Tongtong Liu, Fan Zhang, Shiqing Huang, Jingjing Wang, Fengshou Gu.

Contributor(s): Material type: TextSeries: Mechanisms and Machine Science ; 169Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: X, 597 p. 372 illus., 315 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031694837
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • TA352-356
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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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.

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.

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Biblioteca Universității "Dunărea de Jos" din Galați