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Titlebook: Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems; Yaguo Lei,Naipeng Li,Xiang Li Book 2023 Xi‘a(chǎn)n Jiaotong U

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31#
發(fā)表于 2025-3-27 01:01:02 | 只看該作者
Book 2023e 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 an
32#
發(fā)表于 2025-3-27 03:09:07 | 只看該作者
33#
發(fā)表于 2025-3-27 07:23:19 | 只看該作者
Introduction to Mechanical Engineeringes are developed with respect to different types of variabilities, and corresponding algorithms are designed to fulfill the RUL prediction task. Finally, experimental analyses on various types of mechanical systems are conducted to demonstrate the effectiveness of the introduced methods in practical cases.
34#
發(fā)表于 2025-3-27 10:48:29 | 只看該作者
Data-Model Fusion RUL Prediction,es are developed with respect to different types of variabilities, and corresponding algorithms are designed to fulfill the RUL prediction task. Finally, experimental analyses on various types of mechanical systems are conducted to demonstrate the effectiveness of the introduced methods in practical cases.
35#
發(fā)表于 2025-3-27 16:17:38 | 只看該作者
Book 1978t time, machines, processes and materials have undergone extensive development to make injection moulding safer, more reliable, easier to use and more economical to operate. The purpose ofthis book is to review some of the developments that have taken place in this very important area. These develop
36#
發(fā)表于 2025-3-27 19:52:27 | 只看該作者
0070-8356 titute of Soils and Water, Agricul- tural Research Organization, Volcani Center, Bet Dagan, Israel. The final organization of the material has been influenced b978-3-642-65572-2978-3-642-65570-8Series ISSN 0070-8356 Series E-ISSN 2196-971X
37#
發(fā)表于 2025-3-27 22:52:12 | 只看該作者
38#
發(fā)表于 2025-3-28 02:45:44 | 只看該作者
Dipolar and Scalar Couplings in Solid State NMR of Quadrupolar Nucleiive interaction results, which very often overshadows the dipolar and scalar couplings. This article aims at reviewing how these interactions manifest themselves in quadrupolar NMR and how they can be exploited for resonance assignment and structure elucidation, in spite of the presence of a strong
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