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Proceedings of the TEPEN Internation...

TEPEN International Workshop on Fault Diagnostics and Prognostics ((2024 :)

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Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic = TEPEN2024-IWFDP.. Volume 3 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic/ edited by Tongtong Liu ...[et al.].
Reminder of title:	TEPEN2024-IWFDP.
remainder title:	TEPEN2024-IWFDP
other author:	Liu, Tongtong.
corporate name:	TEPEN International Workshop on Fault Diagnostics and Prognostics
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	x, 597 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Fault location (Engineering) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-69483-7
ISBN:	9783031694837

Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic = TEPEN2024-IWFDP.. Volume 3 /
Proceedings of the TEPEN International Workshop on Fault Diagnostic and PrognosticTEPEN2024-IWFDP.Volume 3 /[electronic resource] :TEPEN2024-IWFDPedited by Tongtong Liu ...[et al.]. - Cham :Springer Nature Switzerland :2024. - x, 597 p. :ill. (chiefly col.), digital ;24 cm. - Mechanisms and machine science,1692211-0992 ;. - Mechanisms and machine science ;169..

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.

ISBN: 9783031694837

Standard No.: 10.1007/978-3-031-69483-7doiSubjects--Topical Terms:

3753249
Fault location (Engineering)
--Congresses.

LC Class. No.: TA169.6

Dewey Class. No.: 620.0044

Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic = TEPEN2024-IWFDP.. Volume 3 /
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505 0 $a 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.
520 $a 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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