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Mastering uncertainty in mechanical ...

Pelz, Peter F.

Mastering uncertainty in mechanical engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mastering uncertainty in mechanical engineeringedited by Peter F. Pelz ... [et al.].
other author:	Pelz, Peter F.
Published:	Cham :Springer International Publishing :2021.
Description:	xii, 471 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Uncertainty (Information theory)
Online resource:	https://doi.org/10.1007/978-3-030-78354-9
ISBN:	9783030783549$q(electronic bk.)

Mastering uncertainty in mechanical engineering
Mastering uncertainty in mechanical engineering[electronic resource] /edited by Peter F. Pelz ... [et al.]. - Cham :Springer International Publishing :2021. - xii, 471 p. :ill. (some col.), digital ;24 cm. - Springer tracts in mechanical engineering,2195-9870. - Springer tracts in mechanical engineering..

Introduction -- Types of uncertainty -- Our speciﬁc approach on mastering uncertainty -- Analysis, quantiﬁcation and evaluation of uncertainty -- Methods and technologies for mastering uncertainty.

Open access.

This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research. Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.

ISBN: 9783030783549$q(electronic bk.)

Standard No.: 10.1007/978-3-030-78354-9doiSubjects--Topical Terms:

206405
Uncertainty (Information theory)

LC Class. No.: Q375 / .M37 2021

Dewey Class. No.: 003.54

Mastering uncertainty in mechanical engineering
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300 $a xii, 471 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer tracts in mechanical engineering, $x 2195-9870
505 0 $a Introduction -- Types of uncertainty -- Our speciﬁc approach on mastering uncertainty -- Analysis, quantiﬁcation and evaluation of uncertainty -- Methods and technologies for mastering uncertainty.
506 $a Open access.
520 $a This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research. Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.
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