As China has become the country with the longest operating mileage and largest construction scale of high-speed railway (HSR) in the world, how to improve the operational excellence and customer satisfaction draws inc...
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The power fluctuation of photovoltaic (PV) is harmful to power systems, so the battery energy storage system (BESS) was applied to smooth power fluctuation in PV. At present, the main ways to get configuration of BESS...
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The power fluctuation of photovoltaic (PV) is harmful to power systems, so the battery energy storage system (BESS) was applied to smooth power fluctuation in PV. At present, the main ways to get configuration of BESS are low-pass filter and spectrum compensation, which have some drawbacks. In this paper, a method that combines empirical mode decomposition (EMD) with wavelet analysis (WA) is proposed to get grid-connected active power expectation of PV properly. Based on simulation of PV output, the minimum sizing of BESS is determined by different batteries’ state-of-charging (SOC) and efficiency. Comparing traditional low-pass filter and spectrum compensation, this method not only acquires the capacity of BESS accurately, but also improves the effect to smoothing power fluctuation of PV effectively. Finally, a case is proposed to verify correctness of the theory.
Machine reliability is one major concern in manufacturing industries, which is affected by interior degradation and outside shocks simultaneously. Low-quality feedstocks, as one typical kind of shocks, may arrive rand...
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ISBN:
(数字)9781728171029
ISBN:
(纸本)9781728171036
Machine reliability is one major concern in manufacturing industries, which is affected by interior degradation and outside shocks simultaneously. Low-quality feedstocks, as one typical kind of shocks, may arrive randomly during the operation of a machine. However, due to the instability of environment and manufacturing factors, low-quality feedstocks may arrive in clusters in some specific batches. In this paper, we first proposed a reliability evaluation model for the repairable machine, accounting for machine degradation and shocks caused by low-quality feedstocks. Then, the cluster arrival of low-quality feedstocks is modeled by the Hawkes point process with the properties of self-exciting and history dependent. Moreover, considering the degradation and shocks, the mixture failure rate of a machine is modeled. Further, the expectation of remaining lifetime is derived. Finally, the simulation experiment is implemented to compare the performance between the machine when the arrival intervals of low-quality feedstocks follow the Poisson point process and the Hawkes point process. Experimental results show the effectiveness of the proposed model for machine reliability analysis.
Anomaly detection in surveillance video scenes is one of the current research hotspots. Due to the small sample collection of anomalous events, the lack of negative sample labeling data training in anomaly detection r...
Anomaly detection in surveillance video scenes is one of the current research hotspots. Due to the small sample collection of anomalous events, the lack of negative sample labeling data training in anomaly detection research adds a lot of difficulties. Therefore, we adopt the method of unsupervised training and improve the method of anomaly detection based on the reconstruction of the potential features of the predicted frame and ground truth based on u-net. We reduce the reconstruction error between the potential features of u-net in the predicted frame and the potential features of the real frame. Then through other constraints, the reconstruction error of the entire predicted frame is minimized according to the generative adversarial training. Due to the use of normal behavior sample training, when the abnormal behavior is detected, the reconstruction error value exceeds the set threshold to judge whether abnormal behavior occurs in the surveillance video. Experiments prove that our improved method is effective and accurate.
A wireless mobile environmental monitoring system based on spherical amphibious robots is proposed in this paper, which is used to monitor environmental data in *** control interface is designed by using labVIEW to di...
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In a social environment, there is a natural mutual force between people. This paper proposes a method for detecting group abnormal behavior based on the potential field method. The movement of a pedestrian is describe...
In a social environment, there is a natural mutual force between people. This paper proposes a method for detecting group abnormal behavior based on the potential field method. The movement of a pedestrian is described as the movement towards the target under the combined action of several forces. Forces on pedestrians include the attractive force for themselves and the repulsive force between pedestrians. By calculating the resultant force between them, the behavior of pedestrians is judged according to a set threshold. It is verified through experiments on public data sets that our method has high accuracy and robustness.
In this paper, we concern with the robust adaptive tracking control problem using neural networks for switched nonlinear systems with uncertain nonlinearity and external disturbance. The hypothesis condition that the ...
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Smart home products have quickly integrated into our lives. The smart home comprehensively utilizes advanced various hybrid smart technologies to organically combine home electrical devices related to the home life fi...
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As pioneered by Donzis and Maqui [J. Fluid Mech. 797, 181 (2016)] and Khurshid and Donzis [Phys. Fluids 31, 015103 (2019)], the compressible isotropic turbulence in thermal nonequilibrium is drawing attention in the f...
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As pioneered by Donzis and Maqui [J. Fluid Mech. 797, 181 (2016)] and Khurshid and Donzis [Phys. Fluids 31, 015103 (2019)], the compressible isotropic turbulence in thermal nonequilibrium is drawing attention in the fluid dynamics community. In the present study, the vibrational rate and the dissipation or production of vibrational energy fluctuation of compressible isotropic turbulence with solenoidal forcing in vibrational nonequilibrium are investigated using numerical simulations. The turbulent Mach number (Mt) is set to be 0.44 and 1.09, and the Taylor Reynolds number (Reλ) equals 98.58 approximately. The focus is on the effect of the normalized vibrational relaxation time (Kτ) and characteristic temperature (θv) on statistical features of the vibrational rate and the dissipation or production components of vibrational energy fluctuation. When Kτ is small (≲1.0), the average of normalized vibrational rate conditioned on the normalized dilatation is positive in the compression region and negative in the expansion region, enhanced with increase of compression and expansion level, respectively. It indicates that, on average, the energy transfers from translational-rotational to vibrational modes in the compression region and in the inverse direction in the expansion region. The conditional average of the normalized vibrational rate reduces with increase of Kτ, and is insensitive to θv. The joint probability density functions (PDFs) and conditional PDFs of the normalized vibrational rate are also analyzed, to reveal the effect of compression and expansion motions on the internal energy exchange between the translational-rotational and vibrational modes. The dissipation or production of vibrational energy fluctuation can result from effects of dilatation, thermal diffusion, and vibrational relaxation. The dissipation component due to thermal diffusion always weakens the vibrational energy fluctuation in both compression and expansion regions for the weakly and highl
This paper mainly explores the anode properties of CoδFe1-δOx-Sm0.2Ce0.8O1.9 (SDC) (δ=0, 0.2, 0.5, 0.8, and 1) for solid oxide fuel cell (SOFC). The composite anode materials were synthesized by sol-gel method, and...
This paper mainly explores the anode properties of CoδFe1-δOx-Sm0.2Ce0.8O1.9 (SDC) (δ=0, 0.2, 0.5, 0.8, and 1) for solid oxide fuel cell (SOFC). The composite anode materials were synthesized by sol-gel method, and the XRD technique was used to characterize structural properties. After H2 reduction at 700 oC, the CoδFe1-δOx oxides were reduced to Co, Fe metal or Co-Fe alloy. The symmetric cells were fabricated with CoδFe1-δOx-SDC as the electrodes and SDC-carbonate as the electrolyte. At 700 oC, the symmetric cell with Co0.5Fe0.5Ox-SDC electrodes showed the lowest polarization resistance and the symmetric cell with Co0.2Fe0.8Ox-SDC showed the largest polarization resistance.
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