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RISS 인기검색어
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- 저자 : XiaoSheng Liu (검색결과 5 건)
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Liu, XiaoSheng,Liu, Bo,Xu, DianGuo The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.2
This paper presents a new recognition and classification method for power quality (PQ) disturbances on the basis of pattern linguistic values. This method solves the difficulty of recognizing disturbances rapidly and accurately by using fuzzy logic. This method uses classification disturbance patterns to define the linguistic values of fuzzy input variables and used the input variables of corresponding disturbance pattern to set membership functions. This method also sets the fuzzy rules by analyzing the distribution regularities of the input variable values. One characteristic of this method is that the linguistic values of fuzzy input variables and the setting of membership functions are not only related to the input variables but also to the character of classification disturbance and the classification results. Furthermore, the number of fuzzy rules is equal to the number of disturbance patterns. By using this method for disturbance classification, the membership function and design of fuzzy rules are directly related to the objective of classification, thus effectively reducing the complexity of the design process and yielding accurate classification results. The classification results of the simulation and measured data verify the feasibility and effectiveness of this method.
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XiaoSheng Liu,Bo Liu,DianGuo Xu 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.2
This paper presents a new recognition and classification method for power quality (PQ) disturbances on the basis of pattern linguistic values. This method solves the difficulty of recognizing disturbances rapidly and accurately by using fuzzy logic. This method uses classification disturbance patterns to define the linguistic values of fuzzy input variables and used the input variables of corresponding disturbance pattern to set membership functions. This method also sets the fuzzy rules by analyzing the distribution regularities of the input variable values. One characteristic of this method is that the linguistic values of fuzzy input variables and the setting of membership functions are not only related to the input variables but also to the character of classification disturbance and the classification results. Furthermore, the number of fuzzy rules is equal to the number of disturbance patterns. By using this method for disturbance classification, the membership function and design of fuzzy rules are directly related to the objective of classification, thus effectively reducing the complexity of the design process and yielding accurate classification results. The classification results of the simulation and measured data verify the feasibility and effectiveness of this method.
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Xiaosheng Zhou,Zongqing Ma,Liming Yu,Yuan Huang,Huijun Li,Yongchang Liu 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.1
With Al addition, dual-phase oxide dispersion strengthened (ODS) steels consisting of martensite and ferrite are fabricatedby spark plasma sintering. It is found that Al addition has a negligible effect on martensite lath size, while the amount andsize of ferrite grains are related to the Al content. M23C6(M = Fe, Cr) carbides have been identified within the ferrite grainsor along ferrite boundaries. With increasing Al concentration, more fine Y–Al–O oxide nanoparticles are formed. Uponannealing treatment, homogeneous and refined distribution of ferrite grains is obtained, which may involve the particlestimulatednucleation of recrystallization caused by the large sized M23C6. As Al is increased from 0.05 to 0.1 wt%, thetensile strength of the annealed steel is decreased, as well as its ductility. For the annealed 9Cr-ODS steel containing 0.1 wt%Al, in tensile loading the large sized M23C6along ferrite boundaries would facilitate the cracking along boundaries betweenthe hard annealed ferrite and soft annealed martensite, producing the mixed fracture of dimple and intergranular fracture.
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Real-time online optimal control of current-fed dual active bridges based on machine learning
Han, Ming,Liu, Xiaosheng,Pu, Honghong,Zhao, Liang,Wang, Kaixuan,Xu, Dianguo The Korean Institute of Power Electronics 2020 JOURNAL OF POWER ELECTRONICS Vol.20 No.1
This paper proposes a real-time online optimal (RT-OPT) control method based on machine learning for a current-fed dual active bridge (CF-DAB). The basis of this control strategy is the linear quadratic optimal control, which designs the sliding surface and realizes power control based on sliding mode control (SMC). For the parameters of Q and R in the objective function of the linear quadratic regulator (LQR), a genetic algorithm is used to find the optimal value, and the optimal value is taken as the sample data. Through machine learning offline training, a neural network is obtained and run online to realize real-time online optimal control. The control method was verified by simulations in MATLAB/Simulink. The RT-OPT method achieves the expected functionality, and has better dynamic and steady-state performance than the PI controller.
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Lu Xiao,Xu Guangyu,Lin Zhidi,Zou Fei,Liu Siyang,Zhang Yuxuan,Fu Wei,Jiang Jianyuan,Ma Xiaosheng,Song Jian 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00
Spinal cord injury (SCI) brings a heavy burden to individuals and society, and there is no effective treatment at present. Exosomes (EX) are cell secreted vesicles containing molecules such as nucleic acids and proteins, which hold promise for the treatment of SCI. Netrin-1 is an axon guidance factor that regulates neuronal growth. We investigated the effects of engineered EX enriched in netrin-1 chemically synthetic modified message RNA (modRNA) in treating SCI in an attempt to find a novel therapeutic approach for SCI.Netrin-1 modRNA was transfected into bone marrow mesenchymal stem cells to obtain EX enriched with netrin-1 (EX-netrin1). We built an inflammatory model in vitro with lipopolysaccharide (LPS) in vitro to study the therapeutic effect of EX-netrin1 on SCI. For experiments in vitro, ELISA, CCK-8 assay, immunofluorescence staining, lactate dehydrogenase release experiments test, real-time quantitative polymerase chain reaction, and western blot were conducted. At the same time, we constructed a rat model of SCI. MRI, hematoxylin-eosin and Nissl staining were used to assess the extent of SCI in rats.In vitro experiments showed that EX had no effect on the viability of oligodendrocytes and PC12 cells. EX-netrin1 could attenuate LPS-induced inflammation and pyroptosis and accelerate axonal/dentritic growth in PC12 cells/oligodendrocytes. In addition, netrin-1 could activate the PI3K/AKT/mTOR signalling pathway upon binding to its receptor unc5b. When Unc5b and PI3K were inhibited, the effect of EX-netrin1 was weakened, which could be reversed by PI3K or mTOR activator. Our in vivo experiments indicated that EX-netrin1 could promote recovery in rats with SCI.We found that EX-netrin1 regulated inflammation, pyroptosis and axon growth in SCI via the Unc5b/PI3K/AKT/mTOR pathway, which provides a new strategy for the treatment of SCI.
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