A new Gaussian approximate(GA) filter for nonlinear systems with one-step randomly delayed measurement and correlated noise is proposed in this ***,a general framework of Gaussian filter is designed under Gaussian ass...
A new Gaussian approximate(GA) filter for nonlinear systems with one-step randomly delayed measurement and correlated noise is proposed in this ***,a general framework of Gaussian filter is designed under Gaussian assumption on the conditional ***,the implementation of Gaussian filter is transfomed into the approximation of the Gaussian weighted integral in the proposed ***,a new cubature Kalman filtering(CKF)algorithm is developed on the basis of the spherical-radial cubature *** efficiency and superiority of the proposed method are illustrated in the numerical examples.
Live-maintaining work is essential for continuous power supply to the *** improve the safety and efficiency of live-maintaining work,this paper proposes an equipotential live-maintaining robot system suitable for 110 ...
Live-maintaining work is essential for continuous power supply to the *** improve the safety and efficiency of live-maintaining work,this paper proposes an equipotential live-maintaining robot system suitable for 110 kV voltage *** the narrow space,complex working conditions and strong electromagnetic interference in substations,binocular vision technology,manipulator trajectory planning algorithm based on timeenergy optimization,high voltage electromagnetic shielding technology are utilized to develop the system,and the live-maintaining robot is successfully applied in actual *** accurately identifying and locating the joint bolts and insulator,the robot system can achieve equipotential live-disassemble,live-assemble the joint bolts within18 minutes and live-clean insulator within 5 minutes,demonstrating its the effectiveness and practicability.
The surface defects of ceramic tile greatly affect the service life of ceramic *** present,many detection methods of ceramic tile surface defects are mostly used for ceramic tiles with monochrome background or simple ...
The surface defects of ceramic tile greatly affect the service life of ceramic *** present,many detection methods of ceramic tile surface defects are mostly used for ceramic tiles with monochrome background or simple ***,many tiles with complex and irregular surface patterns are used in practical applications,but many methods cannot effectively detect surface defects in such *** paper presents a double input feature difference network structure to overcome the ***,a double input channel is constructed to extract features from the template image and the defect image ***,a method of feature difference is performed at different depths to suppress the background interference and prevent misclassification between different defect *** a parameter-free attention module is embedded in the backbone to improve the ability of feature *** results show that this model effectively improves the mean average accuracy of 8.3%and the recall rate of 11.7%.
In response to the national dual carbon policy,carbon capture,utilization and storage（CCUS） are currently attracting much *** paper proposes optimal CCUS planning for multi-energy *** this multi-energy system,transm...
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In response to the national dual carbon policy,carbon capture,utilization and storage（CCUS） are currently attracting much *** paper proposes optimal CCUS planning for multi-energy *** this multi-energy system,transmission network and natural gas network are coupled via conversion and storage devices in the energy *** CCUS planning is formulated based on a source-sink matching method to analyze the CO capture points,CO storage points and CO transportation ***,the original CCUS planning problem is reformulated as a mixed integer second order cone programming（MISOCP） and subsequently solved to guarantee a satisfactory convergence *** studies on an urban multienergy system are implemented to verify the effectiveness and superiority of the proposed methodology over conventional scheme.
Since landslide is one of the most universal natural disasters in China,the study of regional landslide susceptibility evaluation is important to protect people's lives and *** paper analyzes the geospatial charac...
Since landslide is one of the most universal natural disasters in China,the study of regional landslide susceptibility evaluation is important to protect people's lives and *** paper analyzes the geospatial characteristics of the ZiguiBadong section in the Three *** Pearson correlation analysis methodselects,nine impact factors of landslide susceptibility are extracted from the aspects of topography and geomorphology,geological environment,and hydrological conditions,used to establish the evaluation index system of landslide *** the above data basis,the paper applies a support vector machine(SVM) model and an SVM model for gray wolf optimization(GWO) to the susceptibility evaluation of landslides,and product landslide susceptibility index maps according to the *** research area is divided into four regions by jenks method on the map:high-risk,medium-risk,low-risk,and very low-risk *** the accuracy,confusion matrix,and receiver operating characteristic(ROC) curve to evaluate the model,The prediction accuracy of the GWO-SVM model and the SVM model is 88.55 % and 82.82 % respectively,the comparison proves that the GWO-SVM model is much more accurate,which can provide a reference for the study of regional landslide susceptibility.
Deep-sea unmanned exploration equipment is an important tool for exploring and developing the resources in the ocean, and it can survey the deep-sea environment more visually with the help of visual images. However, t...
Deep-sea unmanned exploration equipment is an important tool for exploring and developing the resources in the ocean, and it can survey the deep-sea environment more visually with the help of visual images. However, the complex and variable environment and the low resolution of the underwater lens lead to the poor resolution of the images acquired by the equipment. In this paper, we propose a residual-dense connected method applied to unmanned deep-sea exploration equipment to improve it's image resolution. The method uses dense connections within the residual structure to improve the model detail information acquisition to ensure accuracy and model stability of ***, through the study of the model performance, a high precision residual-dense connected model with less computational effort is designed. Finally, the model is trained and tested using environmental images in deep-sea conditions, and it is demonstrated that the method can be applied to deep-sea unmanned exploration equipment for fast, accurate, and stable image super-resolution processing.
At present, most research on the coverage of multi-agent systems is based on Euclidean distance. This does not consider the existence of obstacles and has great limitations in the application. In this paper, a kind of...
At present, most research on the coverage of multi-agent systems is based on Euclidean distance. This does not consider the existence of obstacles and has great limitations in the application. In this paper, a kind of coverage control problem based on high-order geodesic Voronoi partition is practically investigated. It allows multiple agents to monitor an area with obstacles to achieve the monitoring of the overall environment. As a result, the geodesic distance is introduced as a metric *** on the geodesic distance, point-by-point scanning on the layer is taken to achieve high-order Voronoi diagram *** coverage algorithm can be implemented in a distributed manner through the exchange of location information with each other, and the Lloyd algorithm is added to realize the movement of the sensor toward the optimal position.
Landslide displacement prediction is an important and indispensable part of landslide monitoring and *** change of the displacement is always considered being related to inducing factors,which are aimed at improving a...
Landslide displacement prediction is an important and indispensable part of landslide monitoring and *** change of the displacement is always considered being related to inducing factors,which are aimed at improving accuracy of the predicted ***,the seasonal characteristic of the displacement,which has not been carefully analyzed,reveals the law of inducing *** order to gain a deeper understanding of characteristics,the Baijiabao landslide is taken as an *** variational mode decomposition(VMD) method,which can extract effective information well,is introduced to decompose the *** the seasonal parameters,the seasonal autoregressive integrated moving average(SARIMA) model is established to predict the displacement ***,accumulative displacement prediction values are obtained by superimposing the predicted *** higher accuracy and lower error,the VMD-SARIMA model proves a better option in application compared with VMD-ARIMA,SARIMA and ARIMA models.
A high-reliability constant current to constant voltage power supply system has the advantages of small volume of switching power supply,high power density,high efficiency was propos *** paper use two controllers to c...
A high-reliability constant current to constant voltage power supply system has the advantages of small volume of switching power supply,high power density,high efficiency was propos *** paper use two controllers to control the shunt regulator (SR) circuit and single-end flyback converter part,and separate the two parts for small signal modeling and give the parameters to stabilize the closed *** state space average modeling idea was used to solve the state equ ations for th e modes of the converters in a switching *** order to ensure the stability of cascade system,this paper collaborative optimization of hardware filter parameters and the appropriate PI parameter *** experimentals verify the correctness of our theory,and the system has good stability under closed-loop conditions.
The operations of blast furnaces(BFs) are very vital for the long-term stability of the iron making *** burden distribution and blast supply are the two major operation systems of *** present,the researches are lack e...
The operations of blast furnaces(BFs) are very vital for the long-term stability of the iron making *** burden distribution and blast supply are the two major operation systems of *** present,the researches are lack effective adjustment methods for the BF operations combined with burden distribution and blast *** burden distribution affects the iron making process on a long time scale,while the blast supply afects the iron making process on a short time *** paper presents a multi-time sampling-data adjustment strategy for the BF operations aiming at optimizing *** multiple time ***,this paper analyzes the relationship between the gas utilization ratio(GUR) and the burden distribution,the blast supply on multiple time ***,this paper establishes a prediction model of *** the long time scale and the short time scale based on autoregressive integrated moving average(ARIMA).Next,this paper provides a control strategy of burden distribution and a control strategy of blast supply by a prediction model based on support vector regression(SVR).Finally,this paper makes experiments and applies this method in a real-world *** analysis of the results shows the control strategy of the BF operations provides a good guide on making a suitable decision for burden distribution and blast supply.
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