The three-electrode sliding dielectric barrier discharge(TES-DBD) plasma actuator significantly enhances the ionization rate and momentum exchange between charged particles and neutral particles by incorporating a par...
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The three-electrode sliding dielectric barrier discharge(TES-DBD) plasma actuator significantly enhances the ionization rate and momentum exchange between charged particles and neutral particles by incorporating a parallel DC electrode into the standard DBD design. This design improves the body force and induced jet velocity while allowing flexible control of the induced jet angle, overcoming the limitations of discharge extension and uncontrollable direction in traditional DBD plasma actuators. An integrated plasma power supply has been designed specifically for TES-DBD plasma actuators, streamlining the power supply management. The methodology involves designing the circuit topology for the TES-DBD power supply, followed by simulating and validating its operating principles using Multisim software. The operational performance of the power supply is evaluated through a comprehensive analysis of its electrical,thermal, and aerodynamic properties specific to TES-DBD plasma actuation.
Dielectric barrier discharge(DBD)plasma actuators are widely used in active flow control due to their simple design and rapid ***,they need more effectiveness and discharge *** overcome these limitations,a sector-shap...
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Dielectric barrier discharge(DBD)plasma actuators are widely used in active flow control due to their simple design and rapid ***,they need more effectiveness and discharge *** overcome these limitations,a sector-shaped dielectric barrier discharge(SS-DBD)plasma actuator with an adjustable jet angle was developed to enhance flow control *** flow field dynamics induced by the SS-DBD plasma actuator were quantitatively analyzed using particle image velocimetry(PIV).Experimental investigations showed that precise adjustments to the actuation voltage can modulate the maximum velocity of the induced ***,a quasi-linear relationship between the sector-shaped angles of the SS-DBD and the deflected jet angles was established,indicating that changes in the sector-shaped angles directly influence the direction of the deflected *** correlation enables precise control over jet angles,significantly enhancing flow control by adjusting the SS-DBD-PA's sector-shaped angle.
Physics-Informed Neural Network(PINN)represents a new approach to solve Partial Differential Equations(PDEs).PINNs aim to solve PDEs by integrating governing equations and the initial/boundary conditions(I/BCs)into a ...
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Physics-Informed Neural Network(PINN)represents a new approach to solve Partial Differential Equations(PDEs).PINNs aim to solve PDEs by integrating governing equations and the initial/boundary conditions(I/BCs)into a loss ***,the imbalance of the loss function caused by parameter settings usually makes it difficult for PINNs to converge,*** they fall into local *** other words,the presence of balanced PDE loss,initial loss and boundary loss may be critical for the *** addition,existing PINNs are not able to reveal the hidden errors caused by non-convergent boundaries and conduction errors caused by the PDE near the ***,these problems have made PINN-based methods of limited use on practical *** this paper,we propose a novel physics-informed neural network,*** adaptive physics-informed neural network with a two-stage training *** algorithm adds spatio-temporal coefficient and PDE balance parameter to the loss function,and solve PDEs using a two-stage training process:pre-training and formal *** pre-training step ensures the convergence of boundary loss,whereas the formal training process completes the solution of PDE by balancing various loss *** order to verify the performance of our method,we consider the imbalanced heat conduction and Helmholtz equations often appearing in practical *** Klein-Gordon equation,which is widely used to compare performance,reveals that our method is able to reduce the hidden *** results confirm that our algorithm can effectively and accurately solve models with unbalanced loss function,hidden errors and conduction *** codes developed in this manuscript are publicy available at https://***/callmedrcom/ATPINN.
The recognition of early forest fires can reduce the resource loss caused by fire combustion. A real-time forest fire image recognition method based on r-shufflenetv2 network is proposed. R-shufflenetv2 is mainly comp...
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The scarcity of fault samples presents a significant challenge for fault diagnosis in industrial processes. Conventional methods often fail to deliver satisfactory results when dealing with small sample sizes. In addr...
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The application of a quadrupole magnetic field structure with low power consumption and high field strength is very effective in solving the problem of non-uniformity of oxygen concentration distribution in the proces...
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The application of a quadrupole magnetic field structure with low power consumption and high field strength is very effective in solving the problem of non-uniformity of oxygen concentration distribution in the process of industrial drawing single crystal silicon by MCZ method. In this paper, a 3D model is used to simulate the crystal growth process under the action of quadrupole magnetic field for accurately describe the effect of control parameters on the oxygen concentration distribution at the crystal-melt interface. The results show that the radial oxygen concentration gradient at the crystal-melt interface is positively correlated increases with the radial temperature gradient when the magnetic induction strength is increased, while the positive correlation decreases with the increase of the crucible rotation speed or the crystal rotation speed within the appropriate range. Moreover, the uniformity of the radial oxygen concentration distribution at the crystal-melt interface can be improved by about 19.11% when the crystal rotation speed is higher and the crucible rotation speed is lower, which is more favorable for improving the quality of the silicon single crystal.
In order to improve the detection performance of ultra-wideband signals and obtain a higher detection signal-to-noise ratio, based on the traditional bistable stochastic resonance model, an improved stochastic resonan...
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ISBN:
(数字)9781728176871
ISBN:
(纸本)9781728176888
In order to improve the detection performance of ultra-wideband signals and obtain a higher detection signal-to-noise ratio, based on the traditional bistable stochastic resonance model, an improved stochastic resonance method is proposed to detect, analyze and compare pulse-modulated ultra-wideband signals. The simulation experiment proves that the improved stochastic resonance method has obvious effect on ultra-wideband signal detection, and is superior to traditional algorithms in terms of signal-to-noise ratio and cross-correlation coefficient.
The paper present a ground fault detection method of united adjustment power source system based on variational mode decomposition (VMD) and comprehensive energy relative entropy. First, the analysis of the system rev...
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The paper present a ground fault detection method of united adjustment power source system based on variational mode decomposition (VMD) and comprehensive energy relative entropy. First, the analysis of the system revealed the fault feature extraction is more difficult and the line selection is inaccurate. Secondly, we summarize the fault characteristics of different operation modes. Different operation modes select line by the same selection line method. The proposed method can accurately extract feature in the weak zero sequence current of each feeder, and distinguish the bus fault and feeder fault for each mode of operation. The simulation results show that the proposed method is also suitable for the traditional small current grounding system, and distribution networks with different voltage levels and grounding modes. The results of laboratory simulation experiments show that the method is reliable and practical.
This paper investigates the adaptive tracking control problem for active suspension system(ASS) with time-varying constraints via the neural network(NN) *** nonlinear terms in the spring and damper coefficients,input ...
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This paper investigates the adaptive tracking control problem for active suspension system(ASS) with time-varying constraints via the neural network(NN) *** nonlinear terms in the spring and damper coefficients,input time delay of the actuator and the suspension performances are also considered *** NNs are used to approximate the unknown function caused by the uncertain car-body *** is known to all that ensuring the vertical displacement and speed states in the constraint regions can guarantee the stability and safety of the ***,by introducing the symmetric barrier lyapunov function from the time-varying constraints,an adaptive controller based on the NNs and nonlinear backstepping technique is developed to guarantee the states within *** the stability of the whole system,including the semi-global ultimately uniformly boundedness of the all signals of the ASSs,is analyzed by the Lyapunov stability ***,simulation results are provided to verify the feasibility of the adaptive learning controller.
The current of the distribution networks under 66kV is widely operating in small current grounding mode. The problem of extracting the fault feature in each line would be quite difficult due to the short duration of t...
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The current of the distribution networks under 66kV is widely operating in small current grounding mode. The problem of extracting the fault feature in each line would be quite difficult due to the short duration of the transient zero sequence current with the non-stationary and non-linear characteristics when the single-phase-to-ground fault occurs in the system. Therefore, a novel method of single-phase-to-ground fault line selection for small current based on Fast S-transform (FST) is developed in this paper. Firstly, FST is presented to transform the transient electric current signal in each feeder, after that the one-dimension modulus and phase angle value can been obtained. Then, the feeder with the largest energy value calculated by the modulus obtained above is selected as the alternative possible fault line. Finally, line failure or bus failure can been determined by evaluating the difference of the phase angle between the fault line and the comparison line that has been selected from the non-alternative feeders before. The results of the simulative and experimental circuits reveal that the proposed method using FST can avoid the influence of neural point grounding type. Additionally, the method of line selection is quite accurate and real-time.
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