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Diagnostics of Mechatronic Systems de Pavol Božek

Diagnostics of Mechatronic Systems: Studies in Systems, Decision and Control, cartea 345

Autor Pavol Božek, Yury Nikitin, Tibor Krenický
en Limba Engleză Paperback – 5 mar 2022
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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Specificații

ISBN-13: 9783030670573
ISBN-10: 3030670570
Ilustrații: XV, 79 p. 43 illus., 27 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.15 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Systems, Decision and Control

Locul publicării:Cham, Switzerland

Cuprins

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

Textul de pe ultima copertă

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. 

Caracteristici

Increases the level of the pedagogical process of universities Presents characteristics of elements reliability, using method, models, and algorithms for diagnostics and by studying examples of model diagnostic systems Written by experts in the field