Zobrazeno 1 - 10
of 12 402
pro vyhledávání: '"Kondo, H."'
Publikováno v:
SN Applied Sciences, Vol 5, Iss 11, Pp 1-9 (2023)
Abstract Feature selection is a difficult but highly important preliminary step for bearings remaining useful life (RUL) estimation. To avoid the weights setting problem in hybrid metric, this work devotes to conduct feature selection by using a sing
Externí odkaz:
https://doaj.org/article/ec511023047f4b679bb4df591206b4cb
Publikováno v:
Mechanical Systems and Signal Processing, Elsevier, In press
The research work presented in this paper proposes a data-driven modeling method for bearings remaining useful life estimation based on Takagi-Sugeno (T-S) fuzzy inference system (FIS). This method allows identifying the parameters of a classic T-S F
Externí odkaz:
http://arxiv.org/abs/2012.04589
Publikováno v:
International Journal of Mechatronics and Automation, 2020, 7 (1), pp.23-31
Condition-based maintenance of rotating mechanics requests efficient bearings degradation monitoring. The accuracy of bearings degradation measure depends largely on degradation indicators. To extract efficient indicators, in this paper we propose a
Externí odkaz:
http://arxiv.org/abs/2012.03830
Publikováno v:
In Journal of the Franklin Institute November 2023 360(17):13574-13595
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena August 2023 173
Publikováno v:
In ISA Transactions December 2022 131:397-414
Autor:
Yamaguchi A, Maeshige N, Ma X, Uemura M, Noguchi H, Matsuda M, Nishimura Y, Hasunuma T, Kondo H, Fujino H
Publikováno v:
Journal of Inflammation Research, Vol Volume 15, Pp 2387-2395 (2022)
Atomu Yamaguchi,1 Noriaki Maeshige,1 Xiaoqi Ma,1 Mikiko Uemura,1 Hikari Noguchi,1 Mami Matsuda,2 Yuya Nishimura,2 Tomohisa Hasunuma,2,3 Hiroyo Kondo,4 Hidemi Fujino1 1Department of Rehabilitation Science, Kobe University Graduate School of Health Sci
Externí odkaz:
https://doaj.org/article/b6c86fc0a0fb4545b7da9813bbf553c9