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:
E-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 asambleas
Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA169 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.24062067 |
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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