Zobrazeno 1 - 10
of 377
pro vyhledávání: '"Zhihuan Song"'
Publikováno v:
ACS Omega, Vol 8, Iss 41, Pp 38013-38024 (2023)
Externí odkaz:
https://doaj.org/article/b6d8b5a36a82455d89a8a4a4dd6dbafc
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 815-824 (2022)
In order to solve the problem that the permanent magnet on the rotor of high-speed permanent magnet synchronous machine (PMSM) is easy to be damaged by centrifugal force and easy to be affected by high temperature, which leads to non-reverse demagnet
Externí odkaz:
https://doaj.org/article/28845d7c6e2f4e6eab793ae53af988d3
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1349-1359 (2022)
An axial hybrid permanent magnet synchronous reluctance machine (AHPM-SynRM) is proposed in this paper. The structure is a combination of synchronous reluctance rotor and two permanent magnet rotors. The proposed design includes three axially paralle
Externí odkaz:
https://doaj.org/article/ed370953e80b40409356d4e6bdbd06d2
Autor:
Chihang Wei, Zhihuan Song
Publikováno v:
Sensors, Vol 23, Iss 12, p 5415 (2023)
Subsurface inclusions are one of the most common defects that affect the inner quality of continuous casting slabs. This increases the defects in the final products and increases the complexity of the hot charge rolling process and may even cause bre
Externí odkaz:
https://doaj.org/article/b0ac11336b8f4932a82da3af929e9c51
Publikováno v:
Sensors, Vol 22, Iss 17, p 6660 (2022)
Infrared (IR) band sensors can capture digital images under challenging conditions, such as haze, smoke, and fog, while visible (VIS) band sensors seize abundant texture information. It is desired to fuse IR and VIS images to generate a more informat
Externí odkaz:
https://doaj.org/article/cca11a8f8f5c44b8bddc631d47c9ca14
Publikováno v:
IEEE Access, Vol 7, Pp 22554-22565 (2019)
Deep learning models have been applied to industrial process fault detection because of their ability to approximate the complex nonlinear behavior. They have been proven to outperform the shallow neural network models. However, there are no good gui
Externí odkaz:
https://doaj.org/article/a97cb61b48284ce78d406366b483146a
Publikováno v:
IEEE Access, Vol 7, Pp 122192-122204 (2019)
Statistical local kernel principal component analysis (SLKPCA) has demonstrated its success in incipient fault detection of nonlinear industrial processes by incorporating the statistical local analysis (SLA) technology. However, the basic SLKPCA met
Externí odkaz:
https://doaj.org/article/a3c7aed3575945d18beb798f3beea08c
Publikováno v:
IEEE Access, Vol 7, Pp 184038-184052 (2019)
Data-driven soft sensors have recently drawn considerable and increasing research interest in process industries. To achieve good performance, data analytics algorithms usually have to address complex characteristics presented by industrial datasets.
Externí odkaz:
https://doaj.org/article/8e80a2b8db5b43dc8c4aa0e783c8e213
Publikováno v:
IEEE Access, Vol 5, Pp 20590-20616 (2017)
Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process industry over the past several decades. As a computational engine to data mining and analytics, machine learning serves as basi
Externí odkaz:
https://doaj.org/article/447db06d2239443bb27b10f7048a3277
Publikováno v:
Sensors, Vol 18, Iss 11, p 3968 (2018)
Because of multiple manufacturing phases or operating conditions, a great many industrial processes work with multiple modes. In addition, it is inevitable that some measurements of industrial variables obtained through hardware sensors are incorrect
Externí odkaz:
https://doaj.org/article/6e75e4f8349d4ac38c2bd8cfa91fda4d