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Reliability and Risk Assessment in Engineering : Proceedings of INCRS 2018 / / edited by Vijay Kumar Gupta, Prabhakar V Varde, P K Kankar, Narendra Joshi

Contributor(s): Gupta, Vijay Kumar, editor | Varde, Prabhakar V, editor | Kankar, P. K, editor | Joshi, Narendra, editor | SpringerLink (Online service)
Material type: materialTypeLabelE-bookSeries: (Lecture Notes in Mechanical Engineering, 2195-4356); (Engineering (Springer-11647)).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2020Edition: First edition.Description: 1 recurso en línea (XXVI, 532 páginas) : 226 ilustraciones, 144 ilustraciones a color.ISBN: 9789811537462.Subject: Fiabilidad (Ingeniería) -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TA169 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook.24062067
Total holds: 0

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.

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