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- 저자 : Xinghui Sun (검색결과 3 건)
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Xinghui Sun,Shawei Tang,Ying Zhou,Ying Mao,Jin Hu,Wen Wang,Jiaping Han 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.9
A myristate coating containing Ca and Ce (Ca/Ce coating) was fabricated on the surface of an anodized magnesium alloyby a handy, rapid and facile electrodeposition method. The deposited coatings presented superhydrophobicity and excellentcorrosion properties in 3.5 wt% NaCl solution. The effects of the concentration ratio of Ca2+and Ce3+in the electrolytesolution on the morphology, hydrophobicity and corrosion properties of the Ca/Ce coatings had been studied. The formationmechanism of the Ca/Ce coatings had been discussed in detail. The results indicated that the introduction of Ce ions in theelectrolyte solution could enhance the coatings’ thickness and hydrophobicity compared with the single Ca coating. In orderto provide durable and stable protection for magnesium alloy, an appropriate ratio of Ca2+and Ce3+is requisite for the Ca/Ce coating with rare cracks and high superhydrophobicity.
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Yin Linfei,Cao Xinghui,Sun Zhixiang 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.5
Multiple objectives of smart generation control (SGC) are considered. The paper proposes a distributed Pareto reinforcement learning (DPRL) based on game theory to address the multi-objective control problem (MOCP) of SGC of multi-area interconnected power systems (MAIPSs). The proposed DPRL consists of the framework of reinforcement learning and multiple Q matrices, which can provide multiple outputs for MOCPs. As a control algorithm based on the Markov decision process, the stability of the proposed approach can be guaranteed with the ability to provide dynamic control strategies online. With the Pareto concept of optimization algorithms introduced into a control algorithm, the proposed approach can obtain multiple comprehensive objectives. The case studies under the two-area and practical four-area power systems show that: compared with four reinforcement learning methods and a proportional-integral controller, the proposed DPRL can achieve the highest control performance with multiple objectives in MAIPSs. The case studies of SGC under two MAIPSs verify the feasibility and eff ectiveness of the DPRL for MOCPs.
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Xin Zhang,Jianmin Zhao,Xinghui Zhang,Xianglong Ni,Haiping Li,Fucheng Sun 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.3
Gearbox compound fault pattern recognition is challenging because of its complexity and non-stationarity of the vibration signal. In this study is proposed a novel hybrid method based on narrow band interference canceller (NIC), multifractal detrended fluctuation analysis (MFDFA) and support vector machine optimized by whale optimization algorithm (WOASVM) for compound fault pattern recognition of gearbox. Specifically, the raw signal is processed by NIC to filter the deterministic signal which interferes with the fault signal, and then the multifractal features are extracted from the residual signal via MFDFA. Finally, the compound fault pattern is identified via WOASVM. Compound fault experiments of a gearbox under fixed condition and variable condition were done to evaluate the performance of the proposed method. The results show that the proposed method can effectively identify the compound faults and it outperforms other methods mentioned in this paper.
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