Zobrazeno 1 - 10
of 496
pro vyhledávání: '"kelm"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract To address the problems of low accuracy in fault diagnosis of oil-immersed transformers, poor state perception ability and real-time collaboration during diagnosis feedback, a fault diagnosis method for transformers based on the integration
Externí odkaz:
https://doaj.org/article/552a068961f441c490686825bc63981b
Publikováno v:
IEEE Access, Vol 12, Pp 119589-119601 (2024)
Motion intent recognition research is one of the key challenges in achieving human-robot collaboration in rehabilitation robots. In the traditional method, intention recognition is performed based on the complete sEMG, however, due to the muscle atro
Externí odkaz:
https://doaj.org/article/005836d4df1a423696e229e1d7436a58
Publikováno v:
IEEE Access, Vol 12, Pp 50287-50299 (2024)
Power transformers are the vital and expensive components of the power system. Timely identifying and diagnosing the transformer faults is critical to maintaining the stability of the power grid. As a sensitive and economical tool, the frequency resp
Externí odkaz:
https://doaj.org/article/3b948bc9014741c8a19fc21eb3eb54e0
Publikováno v:
Batteries, Vol 10, Iss 11, p 376 (2024)
This study introduces a sophisticated methodology that integrates 3D assessment technology for the reorganization and recycling of retired lithium-ion battery packs, aiming to mitigate environmental challenges and enhance sustainability in the electr
Externí odkaz:
https://doaj.org/article/74b47958e978456786c00ce3a95fce74
Publikováno v:
You-qi chuyun, Vol 43, Iss 2, Pp 180-188,221 (2024)
[Objective] Surface gas transmission pipelines suffer serious internal corrosion. To ensure the service safety of pipelines, it is necessary to accurately predict their internal corrosion rate. [Methods] The main control factors that affect corrosion
Externí odkaz:
https://doaj.org/article/7f54b087b1be484fab527b4c5784755c
Publikováno v:
Agronomy, Vol 14, Iss 6, p 1320 (2024)
This study constructs a model for the rapid identification of the origins of edible sunflower (Helianthus) using Kernel Extreme Learning Machine (KELM) with multi-source information fusion technology. Near-infrared spectroscopy (NIRS) and nuclear mag
Externí odkaz:
https://doaj.org/article/a0dd7a26edce48db855dde892df7b370
Publikováno v:
E3S Web of Conferences, Vol 477, p 00046 (2024)
In the previous years, water quality has been susceptible to different pollutants. Also, the various environmental conditions like vegetation, climate and basin lithology affects the quality of the river water naturally. So, the prediction of water q
Externí odkaz:
https://doaj.org/article/1672247866504b04a2ca3311df594c86
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