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RISS 인기검색어
- 검색키워드
- 저자 : Chaohai Zhang (검색결과 4 건)
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- 유료
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A GA-Based Neural Fuzzy System for Modeling a Paper Mill Wastewater Treatment Process
Huang, Mingzhi,Wan, Jinquan,Ma, Yongwen,Zhang, Huiping,Wang, Yan,Wei, Chaohai,Liu, Hongbin,Yoo, ChangKyoo American Chemical Society 2011 INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH - Vol.50 No.23
<P>A genetic algorithm-based neural fuzzy system (GA-NFS) was presented for studying the coagulation process of wastewater treatment in a paper mill. In order to adapt the system to a variety of operating conditions and acquire a more flexible learning ability, the GA-NFS was employed to model the nonlinear relationships between the effluent concentration of pollutants and the chemical dosages, and a hybrid learning algorithm divided into two stages was proposed for parameters learning. During the first learning stage, a genetic algorithm was used to optimize the structure of GA-NFS and the membership function of each fuzzy term due to its capability of parallel and global search. On the basis of an optimized training stage, the back-propagation algorithm (BP algorithm) was chosen to update the parameters of GA-NFS to improve the system precision. The GA-NFS proves to be very effective in modeling coagulation perform and performs better than adaptive-network-based fuzzy inference system (ANFIS). RMSE, MAPE, and <I>R</I> between the predicted and observed values for GA-NFS were only 0.01099, 2.3337, and 0.9375, respectively.</P>
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Fu-ping Zeng,Ju Tang,Yanbin Xie,Qian Zhou,Chaohai Zhang 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.4
It is common practice to identify the insulation faults of GIS through monitor the contents of SF6 decomposed components. Partial discharges (PD) could lead to the decomposition of SF6 dielectric, so new reactions usually occur in the mixture of the newly decomposed components including traces of H2O and O2. The new reactions also cause the decomposed components to differ due to the different amounts of H2O and O2 even under the same strength of PD. Thus, the accuracy of assessing the insulation faults is definitely influenced when using the concentration and corresponding change of decomposed components. In the present research, a needle-plate electrode was employed to simulate the PD event of a metal protrusion insulation fault for two main characteristic components SO2F2 and SOF2, and to carry out influence analysis of trace H2O and O2 on the characteristic components. The research shows that trace H2O has the capability of catching an F atom, which inhibits low-sulfide SFx from recombining into high-sulfide SF6. Thus, the amount of SOF2 strongly correlates to the amount of trace H2O, whereas the amount of SO2F2 is weakly related to trace H2O. Furthermore, the dilution effect of trace O2 on SOF2 obviously exceeds that of SO2F2.
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Zeng, Fuping,Tang, Ju,Xie, Yanbin,Zhou, Qian,Zhang, Chaohai The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.4
It is common practice to identify the insulation faults of GIS through monitor the contents of SF<sub>6</sub> decomposed components. Partial discharges (PD) could lead to the decomposition of SF<sub>6</sub> dielectric, so new reactions usually occur in the mixture of the newly decomposed components including traces of H<sub>2</sub>O and O<sub>2</sub>. The new reactions also cause the decomposed components to differ due to the different amounts of H<sub>2</sub>O and O<sub>2</sub> even under the same strength of PD. Thus, the accuracy of assessing the insulation faults is definitely influenced when using the concentration and corresponding change of decomposed components. In the present research, a needle-plate electrode was employed to simulate the PD event of a metal protrusion insulation fault for two main characteristic components SO<sub>2</sub>F<sub>2</sub> and SOF<sub>2</sub>, and to carry out influence analysis of trace H<sub>2</sub>O and O<sub>2</sub> on the characteristic components. The research shows that trace H<sub>2</sub>O has the capability of catching an F atom, which inhibits low-sulfide SF<sub>x</sub> from recombining into high-sulfide SF<sub>6</sub>. Thus, the amount of SOF<sub>2</sub> strongly correlates to the amount of trace H<sub>2</sub>O, whereas the amount of SO<sub>2</sub>F<sub>2</sub> is weakly related to trace H<sub>2</sub>O. Furthermore, the dilution effect of trace O<sub>2</sub> on SOF<sub>2</sub> obviously exceeds that of SO<sub>2</sub>F<sub>2</sub>.
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Fuping Zeng,Ju Tang,Yanbin Xie,Qian Zhou,Chaohai Zhang 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.4
It is common practice to identify the insulation faults of GIS through monitor the contents of SF6 decomposed components. Partial discharges (PD) could lead to the decomposition of SF6 dielectric, so new reactions usually occur in the mixture of the newly decomposed components including traces of H₂O and O₂. The new reactions also cause the decomposed components to differ due to the different amounts of H₂O and O₂ even under the same strength of PD. Thus, the accuracy of assessing the insulation faults is definitely influenced when using the concentration and corresponding change of decomposed components. In the present research, a needle-plate electrode was employed to simulate the PD event of a metal protrusion insulation fault for two main characteristic components SO₂F₂ and SOF₂, and to carry out influence analysis of trace H₂O and O₂ on the characteristic components. The research shows that trace H₂O has the capability of catching an F atom, which inhibits low-sulfide SFx from recombining into high-sulfide SF6. Thus, the amount of SOF₂ strongly correlates to the amount of trace H₂O, whereas the amount of SO₂F₂ is weakly related to trace H₂O. Furthermore, the dilution effect of trace O₂ on SOF₂ obviously exceeds that of SO₂F₂.
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