Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yikuan Gu"'
Autor:
Rubiao Cui, Jingzehua Xu, Botao Huang, Huakun Xu, Miao Peng, Jingwen Yang, Jintao Zhang, Yikuan Gu, Daoyi Chen, Haoran Li, Huiliang Cao
Publikováno v:
Micromachines, Vol 15, Iss 4, p 483 (2024)
MEMS accelerometers are significantly impacted by temperature and noise, leading to a considerable compromise in their accuracy. In response to this challenge, we propose a parallel denoising and temperature compensation fusion algorithm for MEMS acc
Externí odkaz:
https://doaj.org/article/56625b7ea8e74cf987629971e33f6c5f
Publikováno v:
Micromachines, Vol 14, Iss 7, p 1287 (2023)
In this paper, a fault identification algorithm combining a signal processing algorithm and machine learning algorithm is proposed, using a four-mass vibration MEMS gyroscope (FMVMG) for signal acquisition work, constructing a gyroscope fault dataset
Externí odkaz:
https://doaj.org/article/4201b23ac3e046aba3d7e84bed30498f
Publikováno v:
Micromachines, Vol 14, Iss 5, p 971 (2023)
This paper presents an improved empirical modal decomposition (EMD) method to eliminate the influence of the external environment, accurately compensate for the temperature drift of MEMS gyroscopes, and improve their accuracy. This new fusion algorit
Externí odkaz:
https://doaj.org/article/1052406519e44bd48898be5c88c237ff
Publikováno v:
Micromachines, Vol 13, Iss 11, p 1807 (2022)
In this paper, the structure and working principle of four-mass vibration MEMS gyroscope (FMVMG) are introduced, and the working modes of FMVMG are simulated and analyzed. On the basis of this, an improved noise reduction method based on interval loc
Externí odkaz:
https://doaj.org/article/fb89584bda7c4654bc559ec9499be3c1
Publikováno v:
Micromachines; Volume 14; Issue 7; Pages: 1287
In this paper, a fault identification algorithm combining a signal processing algorithm and machine learning algorithm is proposed, using a four-mass vibration MEMS gyroscope (FMVMG) for signal acquisition work, constructing a gyroscope fault dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::96017d3bc901c255d9a3a9c921a3672e