Reliability and risk assessment in engineering : proceedings of INCRS 2018 / Vijay Kumar Gupta, Prabhakar V. Varde, P.K. Kankar, Narendra Joshi, editors.

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 progn...

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Bibliographic Details
Corporate Authors: International Conference on Reliability and Safety Engineering Jabalpur, India, National Conference on Reliability and Safety Engineering
Other Authors: Gupta, Vijay Kumar, Varde, Prabhaker V., Kankar, P. K., Joshi, Narendra
Format: eBook
Language:English
Published: Singapore : Springer, 2020.
Series:Lecture notes in mechanical engineering.
Subjects:
Online Access:Click for online access

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505 0 |a 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. 
520 |a 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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