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Reliability engineering and computat...
~
Gulijk, Coen van.
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Reliability engineering and computational intelligence
Record Type:
Electronic resources : Monograph/item
Title/Author:
Reliability engineering and computational intelligence/ edited by Coen van Gulijk, Elena Zaitseva.
other author:
Gulijk, Coen van.
Published:
Cham :Springer International Publishing : : 2021.,
Description:
viii, 307 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
System Reliability Analysis and Assessment by Means of Logic Differential Calculus and Hasse Diagram -- The survival signature for quantifying system reliability: an introductory overview from practical perspective -- Application of Fuzzy Decision Tree for the construction of Structure Function for System Reliability Analysis based on Uncertain Data -- Unavailability Optimization of a System Undergoing a Real Ageing Process under Failure Based PM.
Contained By:
Springer Nature eBook
Subject:
Reliability (Engineering) -
Online resource:
https://doi.org/10.1007/978-3-030-74556-1
ISBN:
9783030745561
Reliability engineering and computational intelligence
Reliability engineering and computational intelligence
[electronic resource] /edited by Coen van Gulijk, Elena Zaitseva. - Cham :Springer International Publishing :2021. - viii, 307 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.9761860-9503 ;. - Studies in computational intelligence ;v.976..
System Reliability Analysis and Assessment by Means of Logic Differential Calculus and Hasse Diagram -- The survival signature for quantifying system reliability: an introductory overview from practical perspective -- Application of Fuzzy Decision Tree for the construction of Structure Function for System Reliability Analysis based on Uncertain Data -- Unavailability Optimization of a System Undergoing a Real Ageing Process under Failure Based PM.
Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.
ISBN: 9783030745561
Standard No.: 10.1007/978-3-030-74556-1doiSubjects--Topical Terms:
647853
Reliability (Engineering)
LC Class. No.: TA169 / .R43 2021
Dewey Class. No.: 620.00452
Reliability engineering and computational intelligence
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System Reliability Analysis and Assessment by Means of Logic Differential Calculus and Hasse Diagram -- The survival signature for quantifying system reliability: an introductory overview from practical perspective -- Application of Fuzzy Decision Tree for the construction of Structure Function for System Reliability Analysis based on Uncertain Data -- Unavailability Optimization of a System Undergoing a Real Ageing Process under Failure Based PM.
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Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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EB TA169 .R43 2021
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