Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lvfan Zhang"'
Publikováno v:
Actuators, Vol 12, Iss 4, p 158 (2023)
A multi-head-attention-network-based method is proposed for effective information extraction from multidimensional data to accurately predict the remaining useful life (RUL) of gradually degrading equipment. The multidimensional features of the desir
Externí odkaz:
https://doaj.org/article/b7b2fd96e9ad4a83a00f81b5c467fa0d
Publikováno v:
Symmetry, Vol 14, Iss 11, p 2243 (2022)
Machining tools are a critical component in machine manufacturing, the life cycle of which is an asymmetrical process. Extracting and modeling the tool life variation features is very significant for accurately predicting the tool’s remaining usefu
Externí odkaz:
https://doaj.org/article/a810730aecd54e07ba7ffe7115d2ed5d
Publikováno v:
Machines, Vol 10, Iss 7, p 552 (2022)
Aeroengines are the core components of an aircraft; therefore, their health determines flight safety. Currently, owing to their complex structure and problems associated with their various detection parameters, predicting the remaining useful life (R
Externí odkaz:
https://doaj.org/article/37c8fb9571314cc2a5ebde5d0381a367
Publikováno v:
Journal of the Brazilian Society of Mechanical Sciences and Engineering. 44
As a critical content of condition-based maintenance (CBM) for mechanical systems, remaining useful life (RUL) prediction of rolling bearing attracts extensive attention to this day. Through mining the bearing degradation rule from operating data, th