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.

Autorentext

Dr. Vijay Kumar Gupta is currently working as a Professor in the department of Mechanical Engineering at PDPM-Indian Institute of Information Technology, Design and Manufacturing Jabalpur. He has more than 25 years of teaching and research experience. He obtained his PhD in Mechanical Engineering from Indian Institute of Technology Bombay, India. His research interests include smart structure, vibration, design, reliability, finite element analysis, mechatronics and robotics, etc. He has published more than 30 papers in refereed journals and conferences and one book. He is recipient of ISAME K. Suryanarayan Rao Memorial Senior Student Award for R&D in Smart Technology for year 2003. He is a member of ASME, SPIE, IEEE, SRESA and other professional bodies.

Dr. P.V. Varde was Associate Director of Reactor Group, Bhabha Atomic Research Center, Mumbai, India and is Senior Professor, Homi Bhabha National Institute, Mumbai. He completed his PhD from IIT Bombay in 1996. He worked as post-doctoral fellow at Korea Atomic Energy Research Institute, South Korea in 2002 and was visiting professor at CALCE, University of Maryland, USA in 2012. His research interests are development of prognostic models for nuclear plants components in general and electronic components in particular. He worked as a consultant with several international organizations such as OECD/NEA (WGRISK) Paris, International Atomic Energy Agency, Vienna, etc. He is a chief editor for International Journal of Life Cycle Reliability and Safety Engineering. He has over 250 publications, which includes 10 conference proceedings/books, in national and international publications.

Dr. Pavan Kumar Kankar is an Associate Professor in the department of Mechanical Engineering, Indian Institute of Technology Indore. He has over 14 years of teaching and research experience. He obtained his PhD from Indian Institute of Technology Roorkee, India. His research interests include vibration, design, condition monitoring of mechanical components, nonlinear dynamics, soft computing, etc. He has published more than 100 papers in refereed journals and conferences. His work has been cited more than 1500 times. He also served as a guest editor of special issues of various journals of national and international repute. He is a member of professional bodies like American Society of Mechanical Engineers, Society for Reliability and Safety (SRESA), Tribology Society of India and International Institute of Acoustics & Vibration (IIAV).

Mr. Narendra Joshi is working as Secretary and founder member of the Society for Reliability & Safety, and is the Managing Editor of SRESA-Springer International Journal on Life Cycle Reliability and Safety Engineering. He has over 20 publications to his credit in journals and conferences. Mr. Joshi is currently looking after the activities of Human Resource Development, Simulator Training, Root Cause Analysis and safety documentation in research reactors at the Bhabha Atomic Research Centre, Mumbai. He has also worked in Operation and Maintenance of research reactors for 13 years. He was involved in preparation of Probabilistic Risk Assessment of research reactors at Trombay and Risk Informed In-Service Inspection.

Inhalt

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.