Diagnostics of Mechatronic Systems (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Systems, Decision and Control, 345
Release date:	March 2022
First published:	2021
Authors:	Pavol Bozek • Yury Nikitin • Tibor Krenicky
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	79
Edition:	1st ed. 2021
ISBN-13:	978-3-03-067057-3
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Other manufacturing technologies > Precision instruments manufacture > General
LSN:	3-03-067057-0
Barcode:	9783030670573

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