Fault identification method for distribution network based on parameter optimized variational mode decomposition and convolutional neural network
S Hou, W Guo - IET Generation, Transmission & Distribution, 2022 - Wiley Online Library
In order to extract the fault characteristics of the distribution power system automatically, a
new method for fault identification based on parameter optimized variational mode …
new method for fault identification based on parameter optimized variational mode …
Optimal denoising and feature extraction methods using modified CEEMD combined with duffing system and their applications in fault line selection of non-solid …
S Hou, W Guo - Symmetry, 2020 - mdpi.com
As the non-solid-earthed network fails, the zero-sequence current of each line is highly non-
stationary, and the noise component is serious. This paper proposes a fault line selection …
stationary, and the noise component is serious. This paper proposes a fault line selection …
Vibration detection method for core loosening degree of high‐voltage direct current converter valve saturable reactor based on variational mode decomposition …
Y Liu, T Lai, J Liu, X Wei, S Pei… - IET Science …, 2022 - Wiley Online Library
Saturable reactor is the key equipment in converter valves; it is important to evaluate the
core condition. In this paper, a recognition model of saturable reactor core loosening based …
core condition. In this paper, a recognition model of saturable reactor core loosening based …
[图书][B] Complexity of Groundwater Systems
T Ma, L Chen - 2023 - books.google.com
This comprehensive compendium overviews the complexity and uncertainty of groundwater
systems, including groundwater boundaries, runoff, media, dynamic and chemical field, and …
systems, including groundwater boundaries, runoff, media, dynamic and chemical field, and …
Cooperative spectrum sensing based on complexity measures for cognitive radio communications
Over the past decade, distinguishing deterministic signal from noise in the radio frequency
bands has become an active issue in the evolution of cognitive radio technology. To address …
bands has become an active issue in the evolution of cognitive radio technology. To address …
Collaborative white space detection based on sample entropy and fractal theory
Distinguishing deterministic signal from noise in radio spectrum to detect white spaces for
cognitive radio communication is vital task. To address this, quite a few sensing algorithms …
cognitive radio communication is vital task. To address this, quite a few sensing algorithms …