Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Lizhe Tan"'
Publikováno v:
IEEE Access, Vol 10, Pp 86998-87007 (2022)
This paper proposes a novel algorithm for bearing fault diagnosis using sparse wavelet decomposition for feature extraction combined with a multi-scale one dimensional convolutional neural network (1-D CNN). The proposed algorithm consists of three s
Externí odkaz:
https://doaj.org/article/68b70c7cc3474455a1bab48133c80647
Autor:
Attila Lendek, Lizhe Tan
Publikováno v:
IEEE Access, Vol 9, Pp 55974-55987 (2021)
In this paper, a novel approach for the design of a fractional order proportional integral derivative (FOPID) controller is proposed. This design introduces a new time-varying FOPID controller to mitigate a voltage spike at the controller output when
Externí odkaz:
https://doaj.org/article/b994097f4d3046bb9074c39cb48d872a
Publikováno v:
Systems Science & Control Engineering, Vol 9, Iss 1, Pp 11-22 (2021)
Convolutional neural network (CNN) is now widely applied in bearing fault diagnosis, but the design of network structure or parameter tuning is time-consuming. To solve this problem, a particle swarm optimization (PSO) algorithm is used to optimize t
Externí odkaz:
https://doaj.org/article/7258603676984c1dbca20b7a665d2189
Publikováno v:
IEEE Access, Vol 8, Pp 110093-110102 (2020)
In this paper, we develop a new color image lossless compression algorithm with bit-error awareness based on a general bi-level block coding method. The proposed method contains three stages. First, a color image in the RGB color space is converted t
Externí odkaz:
https://doaj.org/article/ba7a2b114faf4904ada92e5517b8a4cb
Publikováno v:
IEEE Access, Vol 8, Pp 118305-118314 (2020)
In this paper, we propose a channel sparsity aware sequential recursive least squares (sparse SEQ-RLS) algorithm for function expansion filters with applications in nonlinear echo cancellation. The algorithm is developed based on a diagonal channel s
Externí odkaz:
https://doaj.org/article/60072244e1034355a9c94c9059d0a93e
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2021)
Deep learning can automatically learn the complex features of input data and is recognized as an effective method for bearing fault diagnosis. Convolution neuron network (CNN) has been successfully used in image classification, and images of vibratio
Externí odkaz:
https://doaj.org/article/786593b5a62941a5a7b02a7c31e3d493
Publikováno v:
IEEE Access, Vol 6, Pp 65139-65150 (2018)
In this paper, a general function expansion bilinear (FEB) filter with a 3-D diagonal structure is proposed to deal with the problem of saturation nonlinearity in active noise control (ANC) systems. In an ANC system, the reference microphone and/or l
Externí odkaz:
https://doaj.org/article/362faac031c54e56ad72a0b0f8c46163
Publikováno v:
2023 IEEE 2nd International Conference on AI in Cybersecurity (ICAIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15dce68592b49d5a02c2dacd4ef46b8e
https://doi.org/10.1109/icaic57335.2023.10044173
https://doi.org/10.1109/icaic57335.2023.10044173
Publikováno v:
Systems Science & Control Engineering, Vol 9, Iss 1, Pp 11-22 (2021)
Convolutional neural network (CNN) is now widely applied in bearing fault diagnosis, but the design of network structure or parameter tuning is time-consuming. To solve this problem, a particle swarm optimization (PSO) algorithm is used to optimize t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be206e131e47faa4975a9cd51dd284fc
https://doaj.org/article/7258603676984c1dbca20b7a665d2189
https://doaj.org/article/7258603676984c1dbca20b7a665d2189
Publikováno v:
2022 IEEE International Conference on Electro Information Technology (eIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bcdfecc347793799440a53693597cb1
https://doi.org/10.1109/eit53891.2022.9814030
https://doi.org/10.1109/eit53891.2022.9814030