The axle temperature is an important performance index for high-speed train axle, and many types of high-precision detection device have been developed. However, because the existing hotbox detection system works by c...
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In this paper, we propose an accurate and cost efficient deep CNN network for object detection. In contrast to the previous region-based methods like Sub-CNN [1], our detector is almost fully convolutional so that the...
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This paper presents a study on the robust stability analysis of linear time-invariant systems with parameter uncertainties and norm-bounded uncertainties. By utilizing the structured singular value, necessary and suff...
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Abstract--Vapor compression refrigeration cycle (VCC) system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based ...
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Abstract--Vapor compression refrigeration cycle (VCC) system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based energy efficient control strategy which aims at maximizing the system efficiency is proposed. Firstly, according to the mass and energy conservation law, an analysis on the nonlinear relationship between superheat and cooling load is carried out, which can produce the maximal effect on the system performance. Then a model predictive control (MPC) based controller is developed for tracking the calculated setting curve of superheat degree and pressure difference based on model identified from data which can be obtained from an experimental rig. The proposed control strategy maximizes the coefficient of performance (COP) which depends on operating conditions, in the meantime, it meets the changing demands of cooling capacity. The effectiveness of the control performance is validated on the experimental rig. Index Terms--Cooling load, model predictive control (MPC), superheat, vapor compression refrigeration cycle (VCC).
In this study,cooperative relaying is proposed to reduce the packets loss rate in the communications between the utility company and the *** establish a cost model based on the statistical analysis with the regulation...
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ISBN:
(纸本)9781509009107
In this study,cooperative relaying is proposed to reduce the packets loss rate in the communications between the utility company and the *** establish a cost model based on the statistical analysis with the regulation errors of a direct load control method in smart ***,we model the average cost of generation-side regulation using the combinational cost of the generating *** problem of minimizing the average cost to the utility company is convex,and we use the Fibonacci search method to obtain the globally optimal power allocation for the *** results demonstrate that the proposed algorithm can converge to the globally optimal relay power under the amplify-and-forward relaying strategy,and the average cost to the utility company can be reduced significantly.
In this paper,distributed model predictive control(DMPC) for island DC micro-grids(MG) with wind/photovoltaic(PV)/battery power is proposed,which coordinates all distributed generations(DG) to stabilize the bus voltag...
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In this paper,distributed model predictive control(DMPC) for island DC micro-grids(MG) with wind/photovoltaic(PV)/battery power is proposed,which coordinates all distributed generations(DG) to stabilize the bus voltage together with the insurance of having computational efficiency under a real-time *** on the feedback of the bus voltage,the deviation of the current is dispatched to each DG according to cost over the prediction ***,to avoid the excessive fluctuation of the battery power,both the discharge-charge switching times and costs are considered in the model predictive control(MPC) optimization problems.A Lyapunov constraint with a time-varying steady-state is designed in each local MPC to guarantee the stabilization of the entire *** voltage stabilization of the MG is achieved by this strategy with the cooperation of *** numeric results of applying the proposed method to a MG of the Shanghai Power Supply Company shows the effectiveness of the distributed economic MPC.
An adaptive autonomous navigation method for medium earth orbit(MEO) and high earth orbit(HEO) satellites is proposed by using four constellation systems to overcome shortcomings of low visibility,liability and us...
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ISBN:
(纸本)9781509009107
An adaptive autonomous navigation method for medium earth orbit(MEO) and high earth orbit(HEO) satellites is proposed by using four constellation systems to overcome shortcomings of low visibility,liability and usability of single mode or dual-mode positioning ***,based on the analysis of the visibility and compatibility of constellation satellites,satellites selection is realized by utilizing weighted geometric dilution of precision(WGDOP) ***,considering the fact that there exists a non-synchronization phenomenon in the constellation systems,the synchronization error of each constellation system is estimated in real time as state variables of the navigation ***,measurement noise variance matrix of the designed filter is adjusted adaptively in allusion to the problem of weakness of the received satellites signal and the strong uncertainty of the measurement noise of the ***,simulation results are provided,which illustrate that compared with extended Kalman filter(EKF),the navigation accuracy can be enhanced by using the proposed adaptive filtering algorithm when there exists strong uncertainty in the measurement noise.
As one of the most important railway signaling equipment,railway point machines undertake the major task of ensuring train operation *** fault diagnosis for railway point machines becomes a hot *** the advantage of th...
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As one of the most important railway signaling equipment,railway point machines undertake the major task of ensuring train operation *** fault diagnosis for railway point machines becomes a hot *** the advantage of the anti-interference characteristics of vibration signals,this paper proposes an novel intelligent fault diagnosis method for railway point machines based on vibration signals.A feature extraction method combining variational mode decomposition(VMD) and multiscale fluctuation-based dispersion entropy is developed,which is verified a more effective tool for feature ***,a two-stage feature selection method based on Fisher discrimination and ReliefF is proposed,which is validated more powerful than single feature selection ***,support vector machine is utilized for fault *** comparisons show that the proposed method performs *** diagnosis accuracies of normal-reverse and reverse-normal switching processes reach 100% and 96.57% ***,it is a try to use new means for fault diagnosis on railway point machines,which can also provide references for similar fields.
In this study,a spectrum allocation algorithm is proposed to reduce the cost and the packets loss rate in the communications between the utility company and the *** establish a cost model based on spectrum allocation ...
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ISBN:
(纸本)9781538629185
In this study,a spectrum allocation algorithm is proposed to reduce the cost and the packets loss rate in the communications between the utility company and the *** establish a cost model based on spectrum allocation in smart ***,the subbands are allocated to different data aggregator units(DAUs) according to the confidence level and the maximum cost *** maximum cost corresponding to the DAUs are provided by different utility *** results demonstrate that the spectrum allocation algorithm can reduce the packets loss rate and make the cost of the utility companies all below the maximum cost requirements.
In this paper, we take the advantages of color contrast and color distribution to get high quality saliency maps. The overall procedure flow of our unified framework contains superpixel pre-segmentation, color contras...
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