| 期刊全称 | Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems | | 影响因子2023 | Yaguo Lei,Naipeng Li,Xiang Li | | 视频video | | | 发行地址 | Provides basic theories and detailed background for fault diagnosis and prognosis.Covers state-of-the-art techniques and advancements in the field of intelligent fault diagnosis and RUL prediction.Pro | | 图书封面 |  | | 影响因子 | .This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era...Features:..Addresses the critical challenges in the field of PHM at present.Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis.Provides abundant experimental validations and engineering cases of the presented methodologies. | | Pindex | Book 2023 |
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发表于 2025-3-21 18:30:51
