Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zhenwen Gui"'
Publikováno v:
Sensors, Vol 23, Iss 16, p 7040 (2023)
Existing fault prediction algorithms based on deep learning have achieved good prediction performance. These algorithms treat all features fairly and assume that the progression of the equipment faults is stationary throughout the entire lifecycle. I
Externí odkaz:
https://doaj.org/article/53e38e6861f145fcab8278b880226949
Publikováno v:
Sensors, Vol 22, Iss 18, p 6722 (2022)
The timely detection of equipment failure can effectively avoid industrial safety accidents. The existing equipment fault diagnosis methods based on single-mode signal not only have low accuracy, but also have the inherent risk of being misled by sig
Externí odkaz:
https://doaj.org/article/5c8112b13abd47a08bec0da02f88edbd
Low Power Design of Handheld Terminal of Independent and Controllable Satellite Mobile Communication
Publikováno v:
2018 IEEE 18th International Conference on Communication Technology (ICCT).
It is the direction of terminal equipment evolution in the future to have the access capability of “Space-Ground Information Network”, and the multi-mode and multi-access of multi-mode and multi-standby is a great challenge to the design of syste
Publikováno v:
Journal of Sensors; 2013, p1-9, 9p