Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yanqi Guan"'
Publikováno v:
IEEE Access, Vol 12, Pp 186131-186144 (2024)
Fault diagnosis in rolling bearings is critical important in preventing machinery damage. Current deep learning-based approaches for rolling bearing fault diagnosis mainly rely on complex models that require significant hardware storage and computing
Externí odkaz:
https://doaj.org/article/bf8c6ea84fcb46418c6bd1044e1eb627
Publikováno v:
Sensors, Vol 24, Iss 16, p 5285 (2024)
In recent years, single-source-data-based deep learning methods have made considerable strides in the field of fault diagnosis. Nevertheless, the extraction of useful information from multi-source data remains a challenge. In this paper, we propose a
Externí odkaz:
https://doaj.org/article/a5f7cb34b3e04e54931578a06b88d3f1
Autor:
Hu, Qingming1,2,3 (AUTHOR) mehuqm@qqhru.edu.cn, Fu, Xinjie1 (AUTHOR) 03312@qqhru.edu.cn, Guan, Yanqi1 (AUTHOR) 305deshenghuo@163.com, Wu, Qingtao1 (AUTHOR) shangliu2009@126.com, Liu, Shang1 (AUTHOR)
Publikováno v:
Sensors (14248220). Aug2024, Vol. 24 Issue 16, p5285. 17p.
Autor:
Shakeel Ahmed, Akbar Ali
Polysaccharide-Based Hydrogels: Synthesis, Characterization and Applications looks at the synthesis, characterization and application of polysaccharide-based materials in a broad array of fields. The book discusses the role of polysaccharides in the
