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Article
Physics informed neural network for dynamic stress prediction
Structural failures are often caused by catastrophic events such as earthquakes and winds. As a result, it is crucial to predict dynamic stress distributions during highly disruptive events in real time. Curre...
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Chapter and Conference Paper
Research on a Space Anti-irradiation Magnetic Feedback DCDC Conversion Technology
A voltage and current dual-loop control DCDC converter is designed. The controller adopts the magnetic feedback topology to realize the circuit isolation, compared with optocouplers, the magnetic feedback circ...
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Chapter and Conference Paper
The Performance Influence of Stator Structure for Five Phase Fault Tolerant PMSM
In this paper, finite element simulation software is used to optimize the stator of five-phase fault-tolerant motor, and the influence of tooth width, notch width, groove shoulder Angle and yoke isolation groo...
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Chapter and Conference Paper
Research on Anti-saturation Control Strategy of High-Power and High-Dynamic Servo Power Supply
This paper aims at the multipolar converter topology commonly used in servo power converters, the magnetic bias problem caused by the inconsistent characteristics of the transformer primary coil generating a D...
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Chapter and Conference Paper
BSDG: Anomaly Detection of Microservice Trace Based on Dual Graph Convolutional Neural Network
Microservice architecture has been widely used by more and more developers in recent years. Accurate anomaly detection is crucial for system maintenance. Trace data can reflect the microservice dependency rela...
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Chapter and Conference Paper
Discovering Spatial Co-location Patterns with Dominant Influencing Features in Anomalous Regions
As one of the important exogenous factors that induce malignant tumors, environmental pollution poses a major threat to human health. In recent years, more and more studies have begun to use data mining techni...