Advances in Reliability, Failure and Risk Analysis (eBook)
XII, 409 Seiten
Springer Nature Singapore (Verlag)
978-981-19-9909-3 (ISBN)
This book collects select chapters on modern industrial problems related to uncertainties and vagueness in the expert domain of knowledge. The book further provides the knowledge related to application of various mathematical and statistical tools in these areas. The results presented in the book help the researchers and scientists in handling complicated projects in their domains. Useful to industrialists, academicians, researchers and students alike, the book aims to help managers and technical specialists in designing and implementation of reliability and risk programs as below:
- Ensure the system safety and risk informed asset management
- Follow a proper strategy to maintain the mechanical components of the system
- Schedule the proper actions throughout the product life cycle
- Understand the structure and cost of a complex system
- Plan the proper schedule to improve the reliability and life of the system
- Identify unwanted failures and set up preventive and correction action
HARISH GARG is Associate Professor at the School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, India. He completed his Ph.D. in mathematics from the Indian Institute of Technology Roorkee, India, in 2013. His research interests include computational intelligence, reliability analysis, multi-criteria decision making, evolutionary algorithms, expert systems and decision support systems, computing with words and soft computing. With more than 410 papers published in international journals of repute, he has supervised seven Ph.D. students. He is ranked in the world's top 2% scientists list and rank #1 in India and world rank #229 published by Stanford University in the consecutive three years 2020, 2021 and 2022. He is the recipient of the Obada Prize 2022 - Young Distinguished Researchers. He is recipient of the Top-Cited Paper by India-based Author (2015-2019). He also serves as an advisory board member of the Universal Scientific Education and Research Network (USERN). Editor of eight books, Dr Garg serves as Founding Editor-in-Chief for the Journal of Computational and Cognitive Engineering, and Associate Editor for several renowned journals including the IEEE Transaction of Fuzzy Systems, Soft Computing, Alexandria Engineering Journal, and Complex and Intelligent Systems. His Google citations are over 17800 with H-index 75.
This book collects select chapters on modern industrial problems related to uncertainties and vagueness in the expert domain of knowledge. The book further provides the knowledge related to application of various mathematical and statistical tools in these areas. The results presented in the book help the researchers and scientists in handling complicated projects in their domains. Useful to industrialists, academicians, researchers and students alike, the book aims to help managers and technical specialists in designing and implementation of reliability and risk programs as below: Ensure the system safety and risk informed asset management Follow a proper strategy to maintain the mechanical components of the system Schedule the proper actions throughout the product life cycle Understand the structure and cost of a complex system Plan the proper schedule to improve the reliability and life of the system Identify unwanted failures and set up preventive and correction action
| Erscheint lt. Verlag | 8.4.2023 |
|---|---|
| Reihe/Serie | Industrial and Applied Mathematics | Industrial and Applied Mathematics |
| Zusatzinfo | XII, 409 p. 160 illus., 119 illus. in color. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Naturwissenschaften | |
| Wirtschaft ► Betriebswirtschaft / Management ► Allgemeines / Lexika | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | Artificial Intelligence • Bayesian analysis • Evidence Reliability • fuzziness and soft computing • life cycle cost • Probability Models • Reliability Analysis • risk analysis • Statistical Analysis |
| ISBN-10 | 981-19-9909-0 / 9811999090 |
| ISBN-13 | 978-981-19-9909-3 / 9789811999093 |
| Haben Sie eine Frage zum Produkt? |
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