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Wang, Liguo,Wang, Yi,Xu, Dianguo,Fang, Bo,Liu, Qinghe,Zou, Jing The Korean Institute of Power Electronics 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.5
This paper focuses on monitoring and predicting the short circuit faults of the rotor windings of large turbo-generator systems. For the purpose of increasing efficiency and decreasing maintenance cost, a method that combines the HHT (Hilbert Huang Transform) with a wavelet has been studied. This method is based on analyzing a classical Albright detecting coil. Due to the Empirical Mode Decomposition (EMD) and the Intrinsic Mode Functions (IMF) of the HHT the exact location of a short circuit of rotor windings may be given. However, a part of the useful information is eliminated by the unreasonable decomposing scale of the wavelet. Based on the thermodynamics modeling method, this study was illustrated with a 50MW turbo-generator system that is installed in Northern China. The analysis results, which have very good agreement with those of a previous study, show that the method of combining the HHT with a wavelet is an effective way to analyze and predict the short circuit faults of the rotor windings of large generators, such as supercritical turbo-generator systems and wind turbo-generator systems. This work can offer a useful reference for analyzing smart grids by improving the power quality of a distribution network that is supplied by a turbo-generator system.
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Wang Wei,Liang Xuanyu,Niu Qinghe,Wang Qizhi,Zhuo Jinyi,Su Xuebin,Zhou Genmao,Zhao Lixin,Yuan Wei,Chang Jiangfang,Zheng Yongxiang,Pan Jienan,Wang Zhenzhi,Ji Zhongmin 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.8
It is essential to evaluate the blasting-enhanced permeability (BEP) feasibility of a low-permeability sandstone-type uranium deposit. In this work, the mineral composition, reservoir physical properties and rock mechanical properties of samples from sandstone-type uranium deposits were first measured. Then, the reformability evaluation method was established by the analytic hierarchy process-entropy weight method (AHP-EWM) and the fuzzy mathematics method. Finally, evaluation results were verified by the split Hopkinson Pressure Bar (SHPB) experiment and permeability test. Results show that medium sandstone, argillaceous sandstone and siltstone exhibit excellent reformability, followed by coarse sandstone and fine sandstone, while the reformability of sandy mudstone is poor and is not able to accept BEP reservoir stimulation. The permeability improvement and the distribution of damage fractures before and after the SHPB experiment confirm the correctness of evaluation results. This research provides a reformability evaluation method for the BEP of the low-permeability sandstone-type uranium deposit, which contributes to the selection of the appropriate regional and stratigraphic horizon of the BEP and the enhanced ISL of the low-permeability sandstone-type uranium deposit.
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Wang QingHe 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3
As the lifeblood of vocational education and the foundation of people’s livelihood, employment is closely related to many factors such as the sustainable and healthy development of China’s economy, social stability, and the rational use of talent. In adopting the combination of production and education, it is undoubtedly the most rewarding for students to get out of school and connect with society, so that they can gain skill training in the process of social practice, develop their moral innovation ability and practical ability, and gain valuable experience in society for their smooth employment in the future. Currently, the traditional teaching of electronics and electricians still relies on the hands of teachers to guide and then students to consolidate and practice. This method has some problems and is difficult to adapt to the current requirements in the teaching of electronics and electricians. In response to some of the issues mentioned above, through research on this method, and through artificial intelligence processing technology, an electronic and electrical teaching and training system was designed to guide students to operate and practice. Therefore, this article compared the performance of the system and found that the system in this article was faster and more efficient than traditional systems. Compared with traditional systems, the response time of this system was shortened by 0.082 s, 0.268 s, 0.627 s, and 1.416 s when the number of loggers reached 10, 100, 250, and 500, respectively. Through comparison, it was found that the system in this paper was far superior to traditional systems, indicating that the system in this paper had a larger bearing capacity. The system user interface (UI) testing and interface testing results in this paper were good, and the overall performance of the system was good. In addition, the research on the integration of industry and education in this article has also enriched the application of artificial intelligence technology in teaching, promoting the better growth of its students.
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Liguo Wang,Yi Wang,Dianguo Xu,Bo Fang,Qinghe Liu,Jing Zou 전력전자학회 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.5
This paper focuses on monitoring and predicting the short circuit faults of the rotor windings of large turbo-generator systems. For the purpose of increasing efficiency and decreasing maintenance cost, a method that combines the HHT (Hilbert Huang Transform) with a wavelet has been studied. This method is based on analyzing a classical Albright detecting coil. Due to the Empirical Mode Decomposition (EMD) and the Intrinsic Mode Functions (IMF) of the HHT the exact location of a short circuit of rotor windings may be given. However, a part of the useful information is eliminated by the unreasonable decomposing scale of the wavelet. Based on the thermodynamics modeling method, this study was illustrated with a 50㎿ turbo-generator system that is installed in Northern China. The analysis results, which have very good agreement with those of a previous study, show that the method of combining the HHT with a wavelet is an effective way to analyze and predict the short circuit faults of the rotor windings of large generators, such as supercritical turbo-generator systems and wind turbo-generator systems. This work can offer a useful reference for analyzing smart grids by improving the power quality of a distribution network that is supplied by a turbo-generator system.
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Analysis of Environmental Pollution Control Model based on Fuzzy Decision Making
Qinghe Chen,Xin Xia,Zhipeng Wang 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.12
Practice and theory researchers have an in-depth discussion about the governance model in the face of the increasingly severe environmental pollution problems. This paper established mathematical medel by the fuzzy mathematics theory,proposed that the multiple work mode is needed to realized in environmental pollution control,and forming a polycentric governance network of the government-led,enterprises,social organizations and individual public paiticipation.It proposes that the multiple work model makes a breakthrough to the single subject management model and puts forward to promote multiple work model in real time to control environmental pollution problems effectively from the perspective of fuzzy decision.The paper provides new theoretical basis and reference for the research of environmental governance mode.
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Relationship of fractures in coal with lithotype and thickness of coal lithotype
Pan, Jienan,Wang, Haichao,Wang, Kai,Niu, Qinghe Techno-Press 2014 Geomechanics & engineering Vol.6 No.6
The fractures in coal are the main migration and output channels of coalbed methane, directly influencing the permeability of the coal seams. It is of great significance to study the effect of fracture distribution in coals on the permeability of coal seam. The development rules of endogenetic and exogenetic fractures are different among various coal lithotypes. There is also difference in the fracture density for the same lithotype with different thicknesses. Through the observation and description of the macroscopic fractures in coal and the origin of fractures in coal, the effect of the coal lithotype and its thickness on fracture development in coal was discussed. It was found through the study that the density of fractures in vitrain band was the maximum for the same coal rank and thickness, followed by clarain band. There were few fractures developed in the durain band. However, the changes of fracture density in three types of bands presented different declining trends for low, medium and high coal rank. There were no fractures developed in the fusain. There were three variation patterns for the fracture densities at the same coal rank and coal lithotype: linear decrease, nonlinear decrease, and first decrease then remaining unchanged. However, the overall trend was that the fracture density decreased with the increase of thickness of coal band for the same coal rank and coal lithotype.
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Effect of Fabric Anisotropy on Bifurcation and Shear Band Evolution in Granular Geomaterials
Jiangfang Chang,Wei Wang,Qinghe Niu,Lei Wen,Wei Yuan 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.8
Strain localization, usually manifesting as shear bands, is frequently observed in geomaterials and is of the essential reason inducing the failure of geostructures. Anisotropic characteristics of soils has an important effect on the shear band behavior. This paper is devoted to study the effect of the fabric anisotropy on the initiation and evolution of the shear bands. In particular, the anisotropy is introduced to the strength parameter of the yield criterion by incorporating the material principal direction and the joint invariant of the stress tensor and the microstructure tensor. Furtherly, an elasto-plastic constitutive model considering the fabric anisotropy is established in the micropolar theory framework, and is then applied to simulate the shear bands in transversely geomaterials via three numerical examples, including the plane strain compression test, slope stability and the shallow foundation problems. Moreover, the mesh independency of the proposed model is discussed. Results show that the bifurcation, the shear bands pattern, and the bearing capacity highly depend on the material principal orientation and the anisotropic degree. Comparison with existing study indicates that the proposed model has a good performance in simulating the typical pre and post strain localization behaviors of transversely isotropic geomaterials.
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Song Renjie,Zhang Qinghe,Liu Haiyang,Yang Shuo,Wang Zhaohui,Bao Zhen 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.11
Swing door trending (SDT) algorithm is a lossy compression algorithm that be applied on the real-time database and proposed by OSI software company of American; SDT is widely used to compress process data generated by process industry. Using straight line for a data section to linear fitting in traditional SDT algorithm. However, the data generated in the process of industrial production are slightly fluctuating with time. So, the use of linear fitting will lead to a large decompression error. In order to overcome the large decompression error generated by the traditional SDT, we proposed Controllable Curve Fitting Based Swing Door Trending (CCFSDT). The CCFSDT algorithm uses curve line for a data section to fitting, the data restored are closer to the true value. And in order to reduce the cost of curve fitting, it can be appropriate to reduce the total number of points of curve fitting. We filter noise point before fitting to void the impact on the reduction data and achieve better compression effect. The experimental results on simulated data and actual plant data show that: under the same conditions, the CCFSDT can well reduce the errors of decompression and achieve satisfactory performance.
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( Ying Guo ),( Xiaoyue Kang ),( Qinghe Han ),( Jingjing Wang ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.10
Node localization is the basic task of underwater wireless sensor networks (UWSNs). Most of the existing underwater localization methods rely on ranging accuracy. Due to the special environment conditions in the ocean, beacon nodes are difficult to deploy accurately. The narrow bandwidth and high delay of the underwater acoustic communication channel lead to large errors. In order to reduce the ranging error and improve the positioning accuracy, we propose a localization algorithm based on ranging correction and inertial coordination. The algorithm can be divided into two parts, Range Correction based Localization algorithm (RCL) and Inertial Coordination based Localization algorithm (ICL). RCL uses the geometric relationship between the node positions to correct the ranging error and obtain the exact node position. However, when the unknown node deviates from the deployment area with the movement of the water flow, it cannot communicate with enough beacon nodes in a certain period of time. In this case, the node uses ICL algorithm to combine position data with motion information of neighbor nodes to update its position. The simulation results show that the proposed algorithm greatly improves the positioning accuracy of unknown nodes compared with the existing localization methods.
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