会议名称：
5th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE)
会议时间：
DEC 06-08, 2019
会议地点：
Chongqing, PEOPLES R CHINA
会议主办单位：
[Zhang, Aihua;Wang, Qin;He, Yidan;Lai, Pengying;Miu, Yifu;Xiao, Zhihong] Hunan Acad Forestry, Changsha 410004, Hunan, Peoples R China.^[Zhang, Aihua;Miu, Yifu;Xiao, Zhihong] Hunan Biooil Engn Technol Res Ctr, Changsha 410004, Hunan, Peoples R China.^[Wang, Qin] Changsha Univ Sci & Technol, Changsha 410114, Hunan, Peoples R China.^[He, Yidan;Lai, Pengying] Cent South Univ Forestry & Technol, Changsha 410004, Hunan, Peoples R China.
会议论文集名称：
IOP Conference Series-Earth and Environmental Science
摘要：
Woody plant oil is a kind of biological material which occupies an important position. It has many characteristics, such as wide variety, wide distribution, large yield and reproducible. The thermochemical conversion technology of woody vegetable oils is an efficient conversion route, and the obtained hydrocarbon-rich fuel can maximize the proximity to existing fossil fuels by esterification and acid reduction. At present, the research on the combustion performance of hydrocarbon rich fuels is relatively few. In this study, B20 (hydrocarbon enriched fuel 20%, 0# diesel 70%) and 0# diesel were used for reference. The results show that, under the same conditions, the emission performance of B20 (smoke, CH, CO, NOx) of the woody plant based hydrocarbon fueled fuel is better than that of 0# diesel. The dynamic performance (torque performance, power performance) is basically equal to that of 0# diesel, and it can protect the ecological environment well, and has a good application prospect.
摘要：
Shield tunneling method is widely used in urban metro construction at present. How to control the disturbance of shield construction on overlying soil and adjacent exist railways is an important issue in the development and utilization process of underground space. Based on the project, Shenzhen Metro Line 7 crossing underneath Shenzhen North Railway Station, this paper puts forward a set of reinforcement measures system for overlapped shield crossing underneath railway station. This paper concludes that full-bin mode tunneling, decreasing slag volume, accelerating the shield tunneling speed, and early synchronous grouting are effective methods for controlling stratum deformation, which are verified by field monitoring. The research conclusion can provide some reference for the similar engineering in the future.
摘要：
In this paper, a classification method for rotor imbalance fault (RIF) using support vector machine (SVM) is proposed. It adopts an improved shuffled frog-leaping algorithm (ISFLA) to optimize the parameters of SVM. Given the nonuniformity and the defect of trapping into the local optimum solution of the initial population existed in SFLA, some improvement methods are presented in ISFLA-SVM. ISFLA employs random uniform design (RUD) to generate an initial population. Besides, the global optimum solution of the proposed method could be found by changing the updating strategy of Xw in the subgroup. The performance of these three classification algorithms, i.e., particle swarm optimization (PSO)-SVM, SFLA-SVM, and ISFLA-SVM are compared. Analysis results show that ISFLA-SVM has the highest recognition accuracy.
摘要：
In this paper,we propose a k-nearest-neighbor（knn） instrumental-variable（IV） method to solve the nonlinear bearingonly localization under small measurement noise. The IV matrix is constructed by the k Euclidean nearest row neighbors in the regressor. Our estimator is proven to be consistent with a closed-form expression of the asymptotic covariance matrix. In order to improve the positioning accuracy, a weight matrix to the knn-IV estimator can be added. In simulation, the positioning accuracy of our method is validated based on the mean square error（MSE） and bias norm as the evalution indicators. The theoretical link between our method and other methods is also analysed.
作者：
Xing, Zhou*;Zhi, Yong;Hao, Ru-hai;Yan, Hong-wen;Qing, Can
作者机构：
[Xing, Zhou] State Grid Gansu Elect Power Co State Grid, Gansu Elect Power Co, Lanzhou, Peoples R China.;[Hao, Ru-hai; Zhi, Yong] State Grid Gansu Elect Power Co, Elect Power Res Inst, Lanzhou, Peoples R China.;[Yan, Hong-wen] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha, Peoples R China.;[Qing, Can] Univ Sci & Technol, Sch Elect & Informat, Changsha, Peoples R China.
会议名称：
5th Asia Conference on Power and Electrical Engineering (ACPEE)
会议时间：
JUN 04-07, 2020
会议地点：
Chengdu, PEOPLES R CHINA
会议主办单位：
[Xing, Zhou] State Grid Gansu Elect Power Co State Grid, Gansu Elect Power Co, Lanzhou, Peoples R China.^[Zhi, Yong;Hao, Ru-hai] State Grid Gansu Elect Power Co, Elect Power Res Inst, Lanzhou, Peoples R China.^[Yan, Hong-wen] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha, Peoples R China.^[Qing, Can] Univ Sci & Technol, Sch Elect & Informat, Changsha, Peoples R China.
摘要：
As there is instability in wind speed, therefore, wind speed forecasting makes sense to ensure security and economy of operating the wind power system. There is strong randomness in wind speed that as part of the non-stationary time series. In this paper, a hybrid forecasting model based on extreme learning machines (ELM) and complete ensemble empirical mode decomposition (CEEMD) is proposed to realize the wind speed forecasting. First, non-stationary time series is decomposed into a series of stable components by using CEEMD. Then, the forecast of each component based on the ELM. Finally, compose the forecast of the components to get the final forecast. Obviously,the proposed method is more steadily and effectively.
作者机构：
[Chen, Dan; Gao, Dianzhu; Huang, Zhiwu] Central South University, School of Automation, Changsha, China;[Zhang, Xiaoyong] Central South University, School of Computer Science and Engineering, Changsha, China;[Gao, Kai] Changsha University of Science and Technology, College of Automotive and Mechanical Engineering, Changsha, China;[Wen, Mengfei] Changsha College for Preschool Education, Changsha, China
会议名称：
2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020
作者机构：
School of Energy and Power Engineering, Changsha University of Science and Technology, China;Centre for Renewable Energy Systems Technology (CREST), Loughborough University, LE11 3TU, UK
会议名称：
2016 Global Energy Interconnection (2016全球能源互联网大会)
会议时间：
2016-03-3
会议地点：
北京
会议论文集名称：
2016 Global Energy Interconnection (2016全球能源互联网大会)论文集
摘要：
It is often the case that some signals are very complex and difficult to analyze properly.This paper presents a method of how to analyze such kind of signals used for the power signal in variable speed wind turbines is presented and studied as a representative data set.As it has been reported that some fault-related signals exist in the power signal in fixed speed wind turbines,this we have paper used the power signal measured from variable speed wind turbines to diagnose faults and have achieved significant progress based on combined wavelet-Fourier transform along with other data processing methods.The use of daily amplitude trending to detect the degradation level of turbine components is also adopted.However,two key problems hinder the precise of the calculation: i) The failure-related signals in the power signal are non-stationary;and ii) The frequencies of the failure-related signals vary with the rotor speed of the generator,which adds the complexity to the data processing.Fast Fourier Transform (FFT) can calculate the amplitude spectrum of stationary signals,but it is not suitable for non-stationary signals.The traditional Morlet wavelet transform can pick out a non-stationary signal from a complex signal,but it also cannot calculate the amplitude.In order to obtain the amplitude trend,we have developed a compensated Morlet wavelet-based method.A Simulink model has been used to demonstrate the feasibility and generalization of the method.Results from experiments on a test rig and a large turbine are given for verification.
作者：
Lu Qi;Zou Jiaqi;Dai Yimin*;Liu Danyang;Wang Shengyun;...
期刊：
Journal of Materials Science: Materials in Electronics,2020年31(1):457-468 ISSN：0957-4522
通讯作者：
Dai Yimin
作者机构：
[Wang Shengyun; Zou Jiaqi; Lu Qi; Chen Ling; Dai Yimin; Liu Danyang] Changsha Univ Sci & Technol, Hunan Prov Key Lab Mat Protect Elect Power & Tran, Sch Chem & Food Engn, Changsha 410114, Peoples R China.
通讯机构：
[Dai Yimin] C;Changsha Univ Sci & Technol, Hunan Prov Key Lab Mat Protect Elect Power & Tran, Sch Chem & Food Engn, Changsha 410114, Peoples R China.
会议名称：
European-Material-Research-Society (EMRS) Spring Meeting - Symposium G on Carrier Transport, Photonics and Sensing in Group IV-Based and Other Semiconductors Nano Devices
