Reluctance motor has the advantages of simple structure, low amount of permanent magnet and high stability. But reluctance motor's limited torque density hinders its widespread application. However, the problem of...
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The Modular Multilevel Converter-based High Voltage Direct Current (MMC-HVDC) transmission system has become the most commonly used transmission technology in DC transmission projects. In order to save transmission an...
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An orthogonal dual-channel-based wireless charging system is designed to desensitize the wireless charging system to free rotation and transmit energy and data simultaneously. The radial magnetic flux and rectangular ...
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This paper investigates the observer-based sliding mode control (SMC) problem for interconnected systems under the constrained bit rate and weighted try-once-discard (WTOD) protocol. The bandwidth of the digital commu...
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As its numerous excellent performances., multi-layer flux-barrier hybrid-pole permanent magnet synchronous machine (MLFB-HP-PMSM) is applied in a lot of fields., for example electric vehicles., aerospace., home applia...
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Great advance has been achieved to improve the CF-based trackers, most of them ignore to improve update scheme. The update scheme plays an important role in tracking, which helps the tracker adapt the change of target...
High-frequency resonance (HFR) incidents have occurred in several Modular Multilevel Converter-based high voltage direct current (MMC-HVDC) projects recently. The interaction between the impedance characteristic of MM...
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The combined-pole less-rare-earth permanent-magnet synchronous machine (CP-LRE-PMSM) has a series of advantages, such as better sinusoidal air-gap field, reduced reliance on rare-earth permanent-magnet materials. and ...
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Predicting students’academic achievements is an essential issue in education,which can benefit many stakeholders,for instance,students,teachers,managers,*** with online courses such asMOOCs,students’academicrelatedd...
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Predicting students’academic achievements is an essential issue in education,which can benefit many stakeholders,for instance,students,teachers,managers,*** with online courses such asMOOCs,students’academicrelateddata in the face-to-face physical teaching environment is usually sparsity,and the sample size is *** makes building models to predict students’performance accurately in such an environment even *** paper proposes a Two-WayNeuralNetwork(TWNN)model based on the bidirectional recurrentneural network and graph neural network to predict students’next semester’s course performance using only theirprevious course *** experiments on a real dataset show that our model performs better thanthe baselines in many indicators.
Nonstationary time series are ubiquitous in almost all natural and engineering *** the time-varying signatures from nonstationary time series is still a challenging problem for data *** Time-Frequency Distribution(TFD...
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Nonstationary time series are ubiquitous in almost all natural and engineering *** the time-varying signatures from nonstationary time series is still a challenging problem for data *** Time-Frequency Distribution(TFD)provides a powerful tool to analyze these ***,they suffer from Cross-Term(CT)issues that impair the readability of ***,to achieve high-resolution and CT-free TFDs,an end-to-end architecture termed Quadratic TF-Net(QTFN)is proposed in this *** by classic TFD theory,the design of this deep learning architecture is heuristic,which firstly generates various basis functions through ***,more comprehensive TF features can be extracted by these basis ***,to balance the results of various basis functions adaptively,the Efficient Channel Attention(ECA)block is also embedded into ***,a new structure called Muti-scale Residual Encoder-Decoder(MRED)is also proposed to improve the learning ability of the model by highly integrating the multi-scale learning and encoder-decoder ***,although the model is only trained by synthetic signals,both synthetic and real-world signals are tested to validate the generalization capability and superiority of the proposed QTFN.
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