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Proceedings of IncoME-VI and TEPEN 2...

Zhang, Hao.

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Proceedings of IncoME-VI and TEPEN 2021 = performance engineering and maintenance engineering /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of IncoME-VI and TEPEN 2021/ edited by Hao Zhang ... [et al.].
Reminder of title:	performance engineering and maintenance engineering /
remainder title:	IncoME-VI
other author:	Zhang, Hao.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xiv, 1102 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: An Optical Gyroscope Based Technique for Calibrating Angular-Measuring Instrument -- Chapter 2: Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models - A Case Study in a Pulp Paper Industry -- Chapter 3: Reinforcement Learning Fault Diagnosis Method Based on Less Tag Data -- Chapter 4: Optimization design and simulation analysis of miniature boring machine based on ADAMS.
Contained By:	Springer Nature eBook
Subject:	Plant maintenance - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-99075-6
ISBN:	9783030990756

Proceedings of IncoME-VI and TEPEN 2021 = performance engineering and maintenance engineering /
Proceedings of IncoME-VI and TEPEN 2021performance engineering and maintenance engineering /[electronic resource] :IncoME-VIedited by Hao Zhang ... [et al.]. - Cham :Springer International Publishing :2023. - xiv, 1102 p. :ill., digital ;24 cm. - Mechanisms and machine science,v. 1172211-0992 ;. - Mechanisms and machine science ;v. 117..

Chapter 1: An Optical Gyroscope Based Technique for Calibrating Angular-Measuring Instrument -- Chapter 2: Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models - A Case Study in a Pulp Paper Industry -- Chapter 3: Reinforcement Learning Fault Diagnosis Method Based on Less Tag Data -- Chapter 4: Optimization design and simulation analysis of miniature boring machine based on ADAMS.

This volume gathers the latest advances, innovations and applications in the field of condition monitoring, plant maintenance and reliability, as presented by leading international researchers and engineers at the 6th International Conference on Maintenance Engineering and the 2021 conference of the Efficiency and Performance Engineering Network (IncoME-VI TEPEN 2021), held in Tianjin, China on October 20-23, 2021. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health monitoring, maintenance auditing and organization, non-destructive testing, reliability, asset management, condition monitoring, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. 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: 9783030990756

Standard No.: 10.1007/978-3-030-99075-6doiSubjects--Topical Terms:

3625939
Plant maintenance
--Congresses.

LC Class. No.: TS192

Dewey Class. No.: 658.202

Proceedings of IncoME-VI and TEPEN 2021 = performance engineering and maintenance engineering /
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520 $a This volume gathers the latest advances, innovations and applications in the field of condition monitoring, plant maintenance and reliability, as presented by leading international researchers and engineers at the 6th International Conference on Maintenance Engineering and the 2021 conference of the Efficiency and Performance Engineering Network (IncoME-VI TEPEN 2021), held in Tianjin, China on October 20-23, 2021. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health monitoring, maintenance auditing and organization, non-destructive testing, reliability, asset management, condition monitoring, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. 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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