| 书目名称 | Fault Diagnosis Inverse Problems: Solution with Metaheuristics | | 编辑 | Lídice Camps Echevarría,Orestes Llanes Santiago,An | | 视频video | | | 概述 | Presents solutions for fault diagnosis problems using an interdisciplinary perspective, combining inverse problem methodology and metaheuristics.Offers a systematic and clear overview of the main idea | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This methodology, known as fault diagnosis – inverse problem methodology or FD-IPM, unifies the results of several years of work of the authors in the fields of fault detection and isolation (FDI), inverse problems and optimization. The book clearly and systematically presents the main ideas, concepts and results obtained in recent years. By formulating fault diagnosis as an inverse problem, and by solving it using metaheuristics, the authors offer researchers and students a fresh, interdisciplinary perspective for problem solving in these fields. Graduate courses in engineering, applied mathematics and computing also benefit from this work.. | | 出版日期 | Book 2019 | | 关键词 | inverse problems; optimization; metaheuristics; fault diagnosis; FD-IPM; FDI; differential evolution; parti | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-89978-7 | | isbn_softcover | 978-3-030-07908-6 | | isbn_ebook | 978-3-319-89978-7Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer International Publishing AG, part of Springer Nature 2019 |
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发表于 2025-3-21 17:34:53
