In this paper, hysteresis voltage control method is proposed to an unidirectional inverter control for piezoelectric load. Piezoelectric load has electrically RC characteristic, and is driven by the inverter to contro...
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The influence of random short time-delay to networked controlsystems (NCS) is changed into an unknown bounded uncertain part. Without changing the structure of the system, an Hoo states observer is designed for NCS...
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The influence of random short time-delay to networked controlsystems (NCS) is changed into an unknown bounded uncertain part. Without changing the structure of the system, an Hoo states observer is designed for NCS with short time-delay. Based on the designed states observer, a robust fault detection approach is proposed for NCS. In addition, an optimization method for the selection of the detection threshold is introduced for better tradeoff between the robustness and the sensitivity. Finally, some simulation results demonstrate that the presented states observer is robust and the fault detection for NCS is effective.
Conventional permanent magnet assisted synchronous reluctance motors (PMaSynRels) are characterized by flux barriers partially filled with rectangular sintered ferrite, resulting in barrier shapes constrained to vario...
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ISBN:
(数字)9798331520748
ISBN:
(纸本)9798331520755
Conventional permanent magnet assisted synchronous reluctance motors (PMaSynRels) are characterized by flux barriers partially filled with rectangular sintered ferrite, resulting in barrier shapes constrained to various rectangular combinations. For PMaSynRels with bonded ferrite, flux barriers could be completed filled, but the inferior magnetic properties of bonded ferrite restrict the performance of these PMaSynRels. Thus in the paper, two PMaSynRels with non-rectangular sintered ferrite are investigated and compared to explore the maximum torque potential. Through parameterization and optimization, the final two PMaSynRels are evaluated on torque, power factor, and efficiency across diverse operating conditions. The results prove that PMaSynRel with fluid-shaped sintered ferrite has lower torque ripple than PMaSynRel with circular-shaped sintered ferrite. In terms of power factor and efficiency, the two PMaSynRels do not differ significantly,
This paper presents a novel deep learning framework for ECG arrhythmias detection, integrating Spatio-Temporal Adaptive Embedding (STAE) Transformers and Variational Autoencoders (VAEs) to improve classification accur...
This paper presents a novel deep learning framework for ECG arrhythmias detection, integrating Spatio-Temporal Adaptive Embedding (STAE) Transformers and Variational Autoencoders (VAEs) to improve classification accuracy and address class imbalance. Traditional ECG classification models struggle to capture long-range temporal dependencies and handle imbalanced datasets, leading to poor sensitivity for rare arrhythmias. The proposed system employs STAE Transformers to model intricate temporal and spatial relationships within ECG signals to overcome these challenges. At the same time, VAEs generate diverse and realistic ECG samples to enhance model generalization, particularly for underrepresented arrhythmias. Additionally, combining Focal Loss and Dice Loss, a Hybrid Loss Function further optimizes performance by focusing on hard-to-classify arrhythmias. The model is evaluated on the MIT-BIH Arrhythmias Database and PTB Diagnostic ECG Database using 5-fold cross-validation, achieving an accuracy of 99.56% and a macro F1-score of 95.40%, outperforming existing state-of-the-art methods, with a 3.5% improvement in sensitivity for rare arrhythmias. To ensure interpretability, SHapley Additive exPlanations (SHAP) and Gradient-weighted Class Activation Mapping (Grad-CAM) are utilized, highlighting the QRS complex and RR intervals as the most critical features and confirming that the model focuses on clinically relevant waveform regions. These results demonstrate the effectiveness of our approach in developing an accurate, interpretable, and robust deep learning system for ECG arrhythmias detection, paving the way for more reliable clinical decision support systems.
In 2014, ISO 55000s has been enacted and the power plant asset management is becoming a hot issue for all over the world. The asset management system is being developed as a combination of CBM(Condition Based Maintena...
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Manual visual inspection for defect detection in manufacturing can lead to high false positive rates. This paper compares data mining techniques for the binary classification of defects in flat products in a relativel...
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This paper presents a real-time state estimation system for vehicles using inertial sensors, magnetic sensors and GPS receivers with carrier phase measurement capability. The article concentrates on the precise attitu...
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Flexible-antenna systems, such as fluid antennas and movable antennas, have been recognized as key enabling technologies for sixth-generation (6G) wireless networks, as they can intelligently reconfigure the effective...
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Accounting for the missile autopilot as second-order dynamics, an observer-based guidance law is designed based on the dynamic surface control method. Some first-order low-pass filters are introduced into the design p...
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Accounting for the missile autopilot as second-order dynamics, an observer-based guidance law is designed based on the dynamic surface control method. Some first-order low-pass filters are introduced into the design process to avoid the occurrence of high-order derivatives of the line of sight angle in the expression of guidance law such that it can be implemented in practical applications. The proposed guidance law is effective in compensating the bad influence of the autopilot lag on guidance accuracy. In the simulations of intercepting non maneuvering targets, targets with step acceleration, and targets with sinusoidal acceleration respectively, the guidance law is compared with the adaptive sliding mode guidance law in the presence of missile autopilot lag. The simulation results show that the proposed guidance law is able to guide a missile to accurately intercept a maneuvering target, even if it escapes in a great and fast maneuver and the autopilot has a relatively large lag.
Starting with the Park's equations of the synchronous generator, the paper presents the principles followed to obtain nonlinear models that can be directly used for computer simulations using Matlab with Simulink ...
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ISBN:
(纸本)0889863393
Starting with the Park's equations of the synchronous generator, the paper presents the principles followed to obtain nonlinear models that can be directly used for computer simulations using Matlab with Simulink package. Also there are presented some comparative studies about an adaptive controller with application to excitation control of a synchronous generator, functioning in active power load regime. To design the adaptive controller are taken into consideration the RLSE estimator (recursive least square error) and respectively an estimator based on Givens orthogonal transformation.
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