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Reliability and Risk Modeling of Engineering Systems

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Reliability and Risk Modeling of Engineering Systems/ edited by Dilbagh Panchal, Prasenjit Chatterjee, Dragan Pamucar, Mohit Tyagi.
other author:	Panchal, Dilbagh.
Description:	XIX, 165 p. 40 illus., 22 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-70151-2
ISBN:	9783030701512

Reliability and Risk Modeling of Engineering Systems
Reliability and Risk Modeling of Engineering Systems[electronic resource] /edited by Dilbagh Panchal, Prasenjit Chatterjee, Dragan Pamucar, Mohit Tyagi. - 1st ed. 2021. - XIX, 165 p. 40 illus., 22 illus. in color.online resource. - EAI/Springer Innovations in Communication and Computing,2522-8609. - EAI/Springer Innovations in Communication and Computing,.

Introduction -- Applications of mathematical modelling for RAM analysis -- Application of mathematical modelling for risk analysis -- Integrated fuzzy decision support system for maintenance decision support system -- A decision support model for optimizing plant operation and system safety -- Models for reliability based cost decision -- Models for clean and green production for industrial system -- Model development and its application for hazard management -- Green process operation for cleaner production -- Application of soft computing techniques for optimization of RAM and risk issues -- Conclusion.

This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues. Discusses reliability, risk, and safety issues of industrial systems with the application of the latest reliability and risk based modelling; Includes a wide range of applications related to reliability and risk modeling of engineering systems; Presents a collection of a diverse range of case studies and uses methods to let readers apply cutting-edge decision making methods to their own projects.

ISBN: 9783030701512

Standard No.: 10.1007/978-3-030-70151-2doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Reliability and Risk Modeling of Engineering Systems
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505 0 $a Introduction -- Applications of mathematical modelling for RAM analysis -- Application of mathematical modelling for risk analysis -- Integrated fuzzy decision support system for maintenance decision support system -- A decision support model for optimizing plant operation and system safety -- Models for reliability based cost decision -- Models for clean and green production for industrial system -- Model development and its application for hazard management -- Green process operation for cleaner production -- Application of soft computing techniques for optimization of RAM and risk issues -- Conclusion.
520 $a This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues. Discusses reliability, risk, and safety issues of industrial systems with the application of the latest reliability and risk based modelling; Includes a wide range of applications related to reliability and risk modeling of engineering systems; Presents a collection of a diverse range of case studies and uses methods to let readers apply cutting-edge decision making methods to their own projects.
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