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Akademický článek

An approach to achieve directional low‐profile antenna of quintuple stable pattern band by utilising dipole with compound concave corrugated reflector

Autor: Chaofan Ren, Junping Geng, Han Zhou, Kun Wang, Xianling Liang, Weiren Zhu, Ronghong Jin

Publikováno v: IET Microwaves, Antennas & Propagation, Vol 15, Iss 6, Pp 629-643 (2021)

Abstract An approach to achieve directional low‐profile UWB antenna by omnidirectional source with a reflector, is proposed. The general theoretical model about the direction and the phase conditions between the upward and reflected field are devel

Externí odkaz: https://doaj.org/article/73c5e30de18c4dfebf9575454ef031e5

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Akademický článek

Robot Time-Optimal Trajectory Planning Based on Quintic Polynomial Interpolation and Improved Harris Hawks Algorithm

Autor: Jing Xu, Chaofan Ren, Xiaonan Chang

Publikováno v: Axioms, Vol 12, Iss 3, p 245 (2023)

Time-optimal trajectory planning is one of the most important ways to improve work efficiency and reduce cost and plays an important role in practical application scenarios of robots. Therefore, it is necessary to optimize the running time of the tra

Externí odkaz: https://doaj.org/article/10672de905a74caea073e25d85314efe

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Akademický článek

Noise Elimination for Coalcutter Vibration Signal Based on Ensemble Empirical Mode Decomposition and an Improved Harris Hawks Optimization Algorithm

Autor: Jing Xu, Chaofan Ren, Yanxin Liu, Xiaonan Chang

Publikováno v: Symmetry, Vol 14, Iss 10, p 1978 (2022)

The vibration signal of the shearer is one of the important signals for coal and rock cutting mode recognition and fault diagnosis. However, the signal collected in the field contains a large amount of background noise, which is not conducive to subs

Externí odkaz: https://doaj.org/article/0d1fb4bb52d345c6b5efec439b21ea65

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Akademický článek

Adaptive Enhancement for Coal-Rock Cutting Sound Based on Parameter Self-Tuning Bistable Stochastic Resonance Model

Autor: Jie Xu, Jing Xu, Chaofan Ren, Yanxin Liu, Ning Sun

Publikováno v: Axioms, Vol 11, Iss 6, p 246 (2022)

The traditional bistable stochastic resonance model has always had the drawback of being difficult when choosing accurate system parameters when a weak signal is enhanced. This paper proposes a parameter self-tuning adaptive optimization method based

Externí odkaz: https://doaj.org/article/de429f46dfc9457e8c17c96e29891050

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Akademický článek

Coal–Rock Cutting Sound Denoising Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and an improved Fruit Fly Optimization Algorithm

Autor: Chaofan Ren, Jing Xu, Jie Xu, Yanxin Liu, Ning Sun

Publikováno v: Machines, Vol 10, Iss 6, p 412 (2022)

The cutting sound signal of a coal mining shearer is an important signal source for identifying the coal–rock cutting mode and load state. However, the coal–rock cutting sound signal directly collected from the industrial field always contains a

Externí odkaz: https://doaj.org/article/a71613be1ac64d85adf7f31b3b78ba5b

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