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Diagnostics of mechatronic systems

Bozek, Pavol.

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Diagnostics of mechatronic systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Diagnostics of mechatronic systems/ by Pavol Bozek, Yury Nikitin, Tibor Krenicky.
Author:	Bozek, Pavol.
other author:	Nikitin, Yury.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xv, 79 p. :ill., digital ;24 cm.
[NT 15003449]:	The basics characteristics of elements reliability -- Methods, models, algorithms for diagnostics of mechatronic systems -- Model systems for diagnosticing of mechatronic objects -- Appendix.
Contained By:	Springer Nature eBook
Subject:	Mechatronics. -
Online resource:	https://doi.org/10.1007/978-3-030-67055-9
ISBN:	9783030670559

Diagnostics of mechatronic systems
Bozek, Pavol.

Diagnostics of mechatronic systems[electronic resource] /by Pavol Bozek, Yury Nikitin, Tibor Krenicky. - Cham :Springer International Publishing :2021. - xv, 79 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.3452198-4182 ;. - Studies in systems, decision and control ;v.345..

The basics characteristics of elements reliability -- Methods, models, algorithms for diagnostics of mechatronic systems -- Model systems for diagnosticing of mechatronic objects -- Appendix.

This book provides novel approach to the diagnosis of complex technical systems that are widely used in various kinds of transportation, energy, metallurgy, metalworking, fuels, mining, chemical, paper industries, etc. Effective diagnostic systems are necessary for the early detection of errors in mechatronic systems, for the organization of maintenance and for the assessment of the performed service quality. Unfortunately, the practical use of AI in the diagnosis of mechatronic systems is still quite limited and the inability to build effective mechatronic systems leads to significant economic losses and dangers. The main aim of this book is to contribute to knowledge within the topic of diagnostics of mechatronic systems by the analysis of the elements reliability characteristics, using methods, models and algorithms for diagnostics and by studying examples of model diagnostic systems using AI methods based on neural networks, fuzzy inference systems and genetic algorithms.

ISBN: 9783030670559

Standard No.: 10.1007/978-3-030-67055-9doiSubjects--Topical Terms:

737861
Mechatronics.

LC Class. No.: TJ163.12

Dewey Class. No.: 621

Diagnostics of mechatronic systems
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100 1 $a Bozek, Pavol. $3 3491449
245 1 0 $a Diagnostics of mechatronic systems $h [electronic resource] / $c by Pavol Bozek, Yury Nikitin, Tibor Krenicky.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xv, 79 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.345
505 0 $a The basics characteristics of elements reliability -- Methods, models, algorithms for diagnostics of mechatronic systems -- Model systems for diagnosticing of mechatronic objects -- Appendix.
520 $a This book provides novel approach to the diagnosis of complex technical systems that are widely used in various kinds of transportation, energy, metallurgy, metalworking, fuels, mining, chemical, paper industries, etc. Effective diagnostic systems are necessary for the early detection of errors in mechatronic systems, for the organization of maintenance and for the assessment of the performed service quality. Unfortunately, the practical use of AI in the diagnosis of mechatronic systems is still quite limited and the inability to build effective mechatronic systems leads to significant economic losses and dangers. The main aim of this book is to contribute to knowledge within the topic of diagnostics of mechatronic systems by the analysis of the elements reliability characteristics, using methods, models and algorithms for diagnostics and by studying examples of model diagnostic systems using AI methods based on neural networks, fuzzy inference systems and genetic algorithms.
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700 1 $a Nikitin, Yury. $3 3491450
700 1 $a Krenicky, Tibor. $3 3380085
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)