| 书目名称 | Diagnostics of Mechatronic Systems | | 编辑 | Pavol Božek,Yury Nikitin,Tibor Krenický | | 视频video | | | 概述 | 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 | | 丛书名称 | Studies in Systems, Decision and Control | | 图书封面 |  | | 描述 | 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. . | | 出版日期 | Book 2021 | | 关键词 | Diagnostics; Fault Detection; Mechatronic Systems; Artificial Neural Networks; Fuzzy Logic | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-67055-9 | | isbn_softcover | 978-3-030-67057-3 | | isbn_ebook | 978-3-030-67055-9Series ISSN 2198-4182 Series E-ISSN 2198-4190 | | issn_series | 2198-4182 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:00:32
