To measure the arc motion in interruption process of low voltage molded case circuit breakers (MCCBs) more precisely, a set of novel 2-D optical fiber system is developed. To improve the spatial resolution of optical fibers, lens with inhomogeneous dielectric is fixed on the top of each fiber. Furthermore, the full hardware control logic facilitates the real-time, synchronous and high-speed processing and breaks through the restricted bus operation frequency range and data stream capacity of microprocessor. The Publisher-Subscribe behavioral design pattern is applied to the software and the loosely coupled relationship between glyph and experimental data is once established, the graphic configuration can be implemented for simulation analysis, and the flexibility and applicability of the whole system are obviously improved. It demonstrates that the system provides a better research technique especially for new generation MCCB with gas driven arc.

In order to get the knowledge of gas dynamics in interruption process of molded case circuit breakers, a quenching chamber model with gas-driven arc is proposed. The two-dimensional optical fiber digital testing system has been used to measure the arc current, arc voltage, pressure in the quenching chamber, and the movement of the arc when interrupting the 10 kA prospective current in different conditions. The influence of venting conditions, the configuration of splitter plates and gassing material characteristics on the performance of gas-driven arc has investigated. It demonstrates that the performance can be improved effectively by the ways of closing the bottom venting, adopting shorter splitter plate configuration, and POM and Nylon gassing materials.

A method is proposed to investigate the dynamic characteristics of a magnet release in molded case circuit breaker. With the static field assumption, two grids of the magnetic torque and flux linkage are calculated with the variation of the current and air gap, firstly. Considering the influence of tripping torque, coupled with circuit equation and mechanism motion equation, the dynamic characteristics may be obtained with Runge-Kutta 4 method. Experiments have been done to verify the method, and the difference between the calculated results and the experimental results is below 10%. In addition, the influence of the reaction spring on the protection characteristics is analyzed using this method. It demonstrates that the setting current varies with the initial angle and the stiffness of the reaction spring, and the variation with the initial angle of the reaction spring is closely linear but the stiffness nonlinear.

Medical imaging plays an indispensable role in precise patient diagnosis. The integration of deep learning into medical diagnostics is becoming increasingly common. However, existing deep learning models face performance and efficiency challenges, especially in resource-constrained scenarios. To overcome these challenges, we introduce a novel dendritic neural efficientnet model called DEN, inspired by the function of brain neurons, which efficiently extracts image features and enhances image classification performance. Assessments on a diabetic retinopathy fundus image dataset reveal DEN’s superior performance compared to EfficientNet and other classical neural network models.

Deep networks are undergoing rapid development. However, as the depth of networks increases, the issue of how to fuse features from different layers becomes increasingly prominent. To address this challenge, we creatively propose a cross-layer feature fusion module based on neural dendrites, termed dendritic learning-based feature fusion (DFF). Compared to other fusion methods, DFF demonstrates superior biological interpretability due to the nonlinear capabilities of dendritic neurons. By integrating the classic ResNet architecture with DFF, we devise the ResNeFt. Benefiting from the unique structure and nonlinear processing capabilities of dendritic neurons, the fused features of ResNeFt exhibit enhanced representational power. Its effectiveness and superiority have been validated on multiple medical datasets.

In the optimum design of AC contactors, it is necessary to analyze the dynamic behavior. Moreover, movable contacts and core bounce have remarkable effect on the lifetime of contactors. A set of differential equations describes the coupling of the electric circuit, electromagnetic field and mechanical system taking account into bounce and the influence of friction. With virtual prototyping technology, the dynamic behavior, especially for contacts bounce, has been investigated according to different electrical circuit parameters. Two approaches are introduced to solve electromagnetic parameters. Based on 3D finite element static nonlinear analysis, the flux linkage and electromagnetic force can be evaluated with different air gap and exciting current for larger gap. In addition, concerning to the shading coil for smaller gap, magnetic circuit can facilitate the calculation. The validity of the proposed method is confirmed by experiments.