Reliability Assessment and Optimization of Complex Systems
Elsevier - Health Sciences Division (Verlag)
978-0-443-29112-8 (ISBN)
There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance).
Akshay Kumar holds B.Sc. and M.Sc. degrees from Chaudhary Charan Singh University, Meerut, India (2010, 2012), and earned his Ph.D. majoring in Mathematics with a minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India, in 2017. He serves as an Assistant Professor in Mathematics at Graphic Era Hill University, Dehradun, India, leveraging over 5 years of teaching experience. With a substantial reviewing role across 35+ international journals, including Elsevier, Springer, Emerald, MDPI, and more, he has authored 60+ research papers in reputable journals like Communications in Statistics, Emerald, Inderscience, and many others. He has also edited 2 books with international publishers like River Publisher and IGI Global Publisher. His research spans reliability theory, fuzzy reliability, signature reliability, and applied Mathematics. Dr. Ashok Singh Bhandari holds BSc and MSc degrees in Science from Hemwati Nandan Bahuguna Garhwal University, Srinagar, India (2013, 2015), and a Ph.D. in Mathematics from Graphic Era (Deemed to be University), Dehradun, India (2022). Currently an Assistant Professor in the Mathematics Department at Graphic Era Hill University, Dehradun, he boasts over 6 years of teaching experience. With a track record as a regular Reviewer for 6+ international journals such as Emerald, MDPI, River Publisher, and IGI Global Publisher, he has authored 9+ research papers in distinguished journals like Emerald, Inderscience, IGI Global Publisher, Springer Nature, World Scientific, and Wiley. His contributions extend to presentations at esteemed national and international conferences, centering around reliability theory and optimization. Prof. Mangey Ram received his Ph.D. in Mathematics (major) and Computer Science (minor) from the G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a faculty member for ca. 15 years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently a Research Professor at Graphic Era (deemed to be University), Dehradun, India and a Visiting Professor at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia. He is Editor-in-Chief of the International Journal of Mathematical, Engineering, and Management Sciences; Journal of Reliability and Statistical Studies; Journal of Graphic Era University; Series Editor of six book series with Elsevier, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publisher and Guest Editor and Associate Editor for various journals. His fields of research are reliability theory and applied mathematics. Prof. Ram is a Senior Member of the IEEE, Senior Life Member of the Operational Research Society of India, the Society for Reliability Engineering, Quality and Operations Management in India, the Indian Society of Industrial and Applied Mathematics. He is a member of the organizing committee of several international and national conferences, seminars, and workshops. He was conferred the “Young Scientist Award by the Uttarakhand State Council for Science and Technology, Dehradun, in 2009, and given the “Best Faculty Award in 2011; “Research Excellence Award in 2015; and “Outstanding Researcher Award in 2018 for his significant contributions in academics and research at Graphic Era (deemed to be University), Dehradun, India. Most recently, he received the "Excellence in Research of the Year-2021 Award from the Honourable Chief Minister of the Uttarakhand State, India.
1. A Comparative Study of Direct and Inverse Reliability Methods Applied to the Design of Robotic Manipulators
2. Consecutive-type coherent systems with cold standby redundancy at system level: advances and applications
3. Optimal design of accelerated life tests under multiple correlated covariates for reliability optimization
4. Joint optimization of cost and reliability indices in complex systems through maintenance scheduling and human resource allocation: A mixed approach of cellular automata and discrete-event simulation
5. Optimality assessment of energy infrastructure for system safety and reliability empowering: Case Study a Metropolitan city
6. Reliability and Component Importance of Non-Series Parallel System using Survival Signature
7. Optimal System Designing for Grid energy system using RRAP with Mayfly Optimization Algorithm
8. Reliability Assessment of X-ray Baggage Inspection Systems: Safeguarding Transport Hubs against Threats
9. Optimizing Reliability of Off-Grid Solar Power System in Households Through Cuckoo Search Algorithm
10. AHP Based Determination of Critical Testing Coverage Measures For Reliable & Complex Software Systems
11. FTA principles and application
12. Reliability Analysis of Cybersecurity using Fuzzy Fault Tree
13. Intuitionistic Fuzzy Reliability Assessment of a Wind Turbine Generator
14. Necessity of fuzzy logic: trends in software reliability assessment
15. Reliability Analysis of Interconnection Networks: A Comprehensive Review of Shuffle-exchange, Benes, and Gamma Networks
16. A Bayesian Analysis of a Discrete Parametric Markov Chain Model of Two Identical Unit Warm Standby System Subject to Regular and Expert Repair Facility
17. Analysis of Sensor Reliability in IoT Solutions
18. Optimal Design of a Reinforced Concrete Beam Considering Uncertainties
19. Reliability Based Design Optimization for Cyber Survivability
20. Determining Optimum Inspection Interval of Critical Railway Rolling Stock Components using Discrete Chain Markov Modelling
Erscheinungsdatum | 16.11.2024 |
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Reihe/Serie | Advances in Reliability Science |
Verlagsort | Philadelphia |
Sprache | englisch |
Maße | 152 x 229 mm |
Gewicht | 450 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
Technik ► Maschinenbau | |
ISBN-10 | 0-443-29112-8 / 0443291128 |
ISBN-13 | 978-0-443-29112-8 / 9780443291128 |
Zustand | Neuware |
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