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- 저자 : Shiming Cui (검색결과 3 건)
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Zhili Cui,Shiming Xiao,Xianli Luo,Yunxuan Liu,Ming Liu,Yuyun Zeng,Xiaoli Zhong,Hong Zheng,Haifeng Guo 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.5
In this paper, cheap mineral materials were used as the base materials of lightweight porous ceramics prepared through foamimpregnation method. The effect of the sintering temperature on the properties of the prepared porous ceramics was studied. The porous ceramic was mainly composed of amorphous silicon oxide, crystalline cordierite and mullite phases, and a smallamount of alumina phase. As the sintering temperature increased, the porosity of porous ceramics gradually decreased from94% to 92%, and the bulk density increased from 0.173 gcm-3 at 1100 ℃ to 0.194 gcm-3 at 1200 ℃. The best sinteringtemperature was 1180 ℃. The porosity of the porous ceramics sintered at 1180 ℃ was 92.14%, the volume weight was 0.189gcm-3, the shrinkage rate was 15.80%, the compressive strength was 0.79 MPa, and the thermal conductivity was 0.295 Wm-1k-1. The lightweight porous ceramic has high porosity, low density and good thermal insulation, as well as low cost, having greatpotential for application in fields such as thermal insulation, adsorption, and environmental protection.
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A Novel Approach of Feature Extraction for Analog Circuit Fault Diagnosis Based on WPD-LLE-CSA
Wang, Yuehai,Ma, Yuying,Cui, Shiming,Yan, Yongzheng The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.6
The rapid development of large-scale integrated circuits has brought great challenges to the circuit testing and diagnosis, and due to the lack of exact fault models, inaccurate analog components tolerance, and some nonlinear factors, the analog circuit fault diagnosis is still regarded as an extremely difficult problem. To cope with the problem that it's difficult to extract fault features effectively from masses of original data of the nonlinear continuous analog circuit output signal, a novel approach of feature extraction and dimension reduction for analog circuit fault diagnosis based on wavelet packet decomposition, local linear embedding algorithm, and clone selection algorithm (WPD-LLE-CSA) is proposed. The proposed method can identify faulty components in complicated analog circuits with a high accuracy above 99%. Compared with the existing feature extraction methods, the proposed method can significantly reduce the quantity of features with less time spent under the premise of maintaining a high level of diagnosing rate, and also the ratio of dimensionality reduction was discussed. Several groups of experiments are conducted to demonstrate the efficiency of the proposed method.
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A Novel Approach of Feature Extraction for Analog Circuit Fault Diagnosis Based on WPD-LLE-CSA
Yuehai Wang,Yuying Ma,Shiming Cui,Yongzheng Yan 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.6
The rapid development of large-scale integrated circuits has brought great challenges to the circuit testing and diagnosis, and due to the lack of exact fault models, inaccurate analog components tolerance, and some nonlinear factors, the analog circuit fault diagnosis is still regarded as an extremely difficult problem. To cope with the problem that it’s difficult to extract fault features effectively from masses of original data of the nonlinear continuous analog circuit output signal, a novel approach of feature extraction and dimension reduction for analog circuit fault diagnosis based on wavelet packet decomposition, local linear embedding algorithm, and clone selection algorithm (WPD-LLE-CSA) is proposed. The proposed method can identify faulty components in complicated analog circuits with a high accuracy above 99%. Compared with the existing feature extraction methods, the proposed method can significantly reduce the quantity of features with less time spent under the premise of maintaining a high level of diagnosing rate, and also the ratio of dimensionality reduction was discussed. Several groups of experiments are conducted to demonstrate the efficiency of the proposed method.
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