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Proceedings of the 5th International...

International Conference on Maintenance, Condition Monitoring and Diagnostics (2021 :)

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Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021/ edited by Esko Juuso, Diego Galar.
其他作者:	Juuso, Esko.
團體作者:	International Conference on Maintenance, Condition Monitoring and Diagnostics
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xi, 165 p. :ill., digital ;24 cm.
內容註:	Data Sharing Concept for Electric Car Services: Fleet Level Optimization and Emission Reduction based on Monitored Data -- Unsupervised Deep Neural Network Considering the Uncertainties Effect in Pipeline Condition Monitoring using Guided Ultrasonic Waves -- Detecting Gas Injection Problems in Vacuum Tank Degassing using Measurements of Multiple Variables -- Feature Assessment for a Hybrid Model -- Operability Forecasting Combining Neural Network and Survival Analysis with an Application to Hot Corrosion in Turbofan -- Active Monitoring of RCF in Toroidal Bearings using Acoustic Emission -- Fatigue Risk Analysis with Intelligent Digital Twins based on Condition Monitoring -- Low-end Hardware in Stress Monitoring of CNC Machines -- Real Order Derivatives and Spectral Norms in Fault Detection -- Systematic Methodology for Generating Natural Spall Faults on Rolling Element Bearings -- Physics-Inspired Feature Engineering for Condition Monitoring of Alternating Current Powered Solenoid-Operated Valves -- Advanced Prognostics for a Centrifugal Fan and Multistage Centrifugal Pump using a Hybrid Model.
Contained By:	Springer Nature eBook
標題:	Machinery - Congresses. - Maintenance and repair -
電子資源:	https://doi.org/10.1007/978-981-99-1988-8
ISBN:	9789819919888

Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021
Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021[electronic resource] /edited by Esko Juuso, Diego Galar. - Singapore :Springer Nature Singapore :2023. - xi, 165 p. :ill., digital ;24 cm. - Lecture notes in mechanical engineering,2195-4364. - Lecture notes in mechanical engineering..

Data Sharing Concept for Electric Car Services: Fleet Level Optimization and Emission Reduction based on Monitored Data -- Unsupervised Deep Neural Network Considering the Uncertainties Effect in Pipeline Condition Monitoring using Guided Ultrasonic Waves -- Detecting Gas Injection Problems in Vacuum Tank Degassing using Measurements of Multiple Variables -- Feature Assessment for a Hybrid Model -- Operability Forecasting Combining Neural Network and Survival Analysis with an Application to Hot Corrosion in Turbofan -- Active Monitoring of RCF in Toroidal Bearings using Acoustic Emission -- Fatigue Risk Analysis with Intelligent Digital Twins based on Condition Monitoring -- Low-end Hardware in Stress Monitoring of CNC Machines -- Real Order Derivatives and Spectral Norms in Fault Detection -- Systematic Methodology for Generating Natural Spall Faults on Rolling Element Bearings -- Physics-Inspired Feature Engineering for Condition Monitoring of Alternating Current Powered Solenoid-Operated Valves -- Advanced Prognostics for a Centrifugal Fan and Multistage Centrifugal Pump using a Hybrid Model.

This volume contains selected papers from the Fifth Conference on Maintenance, Condition Monitoring and Diagnostics, MCMD 2021, in Oulu, Finland, collected by editors with years of experiences in condition monitoring, signal processing, advanced reasoning and diagnostics, maintenance, risk assessment, and asset management. This work maximizes reader insights into the current trends in novel technologies and maintenance trends in industrial domains, energy production and energy conservation, mechatronics and robot technologies. These proceedings discuss key issues and challenges in the operation, maintenance and risk management of complex engineering systems and will serve as a valuable resource for condition monitoring and risk management professionals from industry and science exchange knowledge, experiences and strengthen multidisciplinary network those in the field. This book will be of benefit to academia, and industry alike.

ISBN: 9789819919888

Standard No.: 10.1007/978-981-99-1988-8doiSubjects--Topical Terms:

3663399
Machinery
--Maintenance and repair--Congresses.

LC Class. No.: TJ153

Dewey Class. No.: 621.816

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