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Reliability and risk assessment in e...
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International Conference on Reliability and Safety Engineering (2018 :)
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Reliability and risk assessment in engineering = proceedings of INCRS 2018 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Reliability and risk assessment in engineering/ edited by Vijay Kumar Gupta ... [et al.].
Reminder of title:
proceedings of INCRS 2018 /
remainder title:
INCRS 2018
other author:
Gupta, Vijay Kumar.
corporate name:
International Conference on Reliability and Safety Engineering
Published:
Singapore :Springer Singapore : : 2020.,
Description:
xxvi, 532 p. :ill., digital ;24 cm.
[NT 15003449]:
Section 1: Big Data Analytics and Software Engineering -- Section 2: Data Analytics for Reliability: Applications -- Section 3: Condition Monitoring Techniques and Applications -- Section 4: Health Monitoring and Management using Multi-Sensors -- Section 5: Diagnosis and Prognosis of Mechanical Systems -- Section 6: Design for reliability -- Section 7: Optimization and Machine Learning Techniques for Industrial Applications -- Section 8: Performance/ Failure Analysis of Materials in Service -- Section 9: Reliability Issues in Electrical Distribution Systems.
Contained By:
Springer eBooks
Subject:
Reliability (Engineering) - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-15-3746-2
ISBN:
9789811537462
Reliability and risk assessment in engineering = proceedings of INCRS 2018 /
Reliability and risk assessment in engineering
proceedings of INCRS 2018 /[electronic resource] :INCRS 2018edited by Vijay Kumar Gupta ... [et al.]. - Singapore :Springer Singapore :2020. - xxvi, 532 p. :ill., digital ;24 cm. - Lecture notes in mechanical engineering,2195-4356. - Lecture notes in mechanical engineering..
Section 1: Big Data Analytics and Software Engineering -- Section 2: Data Analytics for Reliability: Applications -- Section 3: Condition Monitoring Techniques and Applications -- Section 4: Health Monitoring and Management using Multi-Sensors -- Section 5: Diagnosis and Prognosis of Mechanical Systems -- Section 6: Design for reliability -- Section 7: Optimization and Machine Learning Techniques for Industrial Applications -- Section 8: Performance/ Failure Analysis of Materials in Service -- Section 9: Reliability Issues in Electrical Distribution Systems.
This volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance.
ISBN: 9789811537462
Standard No.: 10.1007/978-981-15-3746-2doiSubjects--Topical Terms:
658439
Reliability (Engineering)
--Congresses.
LC Class. No.: TA169
Dewey Class. No.: 620.00452
Reliability and risk assessment in engineering = proceedings of INCRS 2018 /
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Section 1: Big Data Analytics and Software Engineering -- Section 2: Data Analytics for Reliability: Applications -- Section 3: Condition Monitoring Techniques and Applications -- Section 4: Health Monitoring and Management using Multi-Sensors -- Section 5: Diagnosis and Prognosis of Mechanical Systems -- Section 6: Design for reliability -- Section 7: Optimization and Machine Learning Techniques for Industrial Applications -- Section 8: Performance/ Failure Analysis of Materials in Service -- Section 9: Reliability Issues in Electrical Distribution Systems.
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This volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance.
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Engineering (Springer-11647)
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W9410796
電子資源
11.線上閱覽_V
電子書
EB TA169
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1 records • Pages 1 •
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