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检索条件"机构=A Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment"

共 195 条记录，以下是71-80 订阅

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Power Allocation Strategy of Multivariate Hybrid Energy Storage System Suitable for Microgrid

Power Allocation Strategy of Multivariate Hybrid Energy Stor...

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第35届中国控制与决策会议

作者： Feifan He Wengen Gao Mengxing Pan Lina Qiao High-end equipment advanced perception and intelligent control ministry of education heavy laboratory School of electrical engineering Anhui Polytechnic University

Considering that hybrid energy storage system is regarded as one of the important components of microgrid,it is of great significance to study its power allocation *** power fluctuation of microgrid is decomposed into three different components:random component,pulse component and continuous ***,a multivariate hybrid energy storage system composed of supercapacitor,lithium iron phosphate battery and all-vanadium redox flow battery was used to stabilize the power fluctuation in microgrid;Two frequency dividing points of power fluctuation were obtained by wavelet transform,which were decomposed into three frequency components by a low-pass filter and a high-pass *** with system constraints,the power allocation strategy of multivariate hybrid energy storage system was *** with the traditional energy storage system,the simulation results showed that the multivariate hybrid energy storage system could effectively reduce the charging and discharging power as well as charging and discharging times of supercapacitors and lithium batteries,maintain the SOC fluctuation between 30% and 70%,and possess a more reasonable working range,thus prolonging the service life of energy storage components.

关键词： Microgrid Multielement hybrid energy storage system Power fluctuation Wavelet transform

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Vehicle object detection algorithm with SSD fused RFP structure

Vehicle object detection algorithm with SSD fused RFP struct...

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2022 Chinese Automation Congress, CAC 2022

作者： Cao, Mengxin Cheng, Fanyong Wei, Yangyang Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Anhui Polytechnic University Wuhu241000 China School of Electrical Engineering Anhui Polytechnic University Wuhu241000 China Anhui Key Laboratory of Electric Drive and Control Anhui Polytechnic University Wuhu241000 China

ISBN: (纸本)9781665465335

Object detection is extensively used in sectors as intelligent transportation and monitoring, however the current general single shot multibox detector (SSD) has the drawback of being unable to detect small objects. This study proposes an improved SSD to enhance the detection accuracy of small objects, dubbed RFP-SSD. It adopts Resnet50 as the backbone network and fuses an attention mechanism to boost shallow feature extraction in the feature extraction stage. Further, a recursive feature pyramid (RFP) structure is applied to facilitate multiscale fusion among feature maps. The experimental findings reveal that RFP-SSD outperforms the SSD in terms of detection. The mAP of RFP-SSD is 87.77%, which is a 6.77% improvement over the general SSD. © 2022 IEEE.

关键词： Feature extraction

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Fire detection method based on lightweight YOLOv4

Fire detection method based on lightweight YOLOv4

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2022 International Workshop on Automation, control, and Communication Engineering, IWACCE 2022

作者： Wang, Huilin Xu, Xiaoguang Hao, Xuyao Li, Mengnan Wang, Qi School of Electrical Engineering Anhui Polytechnic University Wuhu241000 China Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Anhui Polytechnic University Anhui Wuhu241000 China Anhui Wuhu241000 China

ISBN: (纸本)9781510660915

A fire detection model with improved YOLOv4 is proposed for mobile devices with limited computing resources and less accurate object localization. Firstly, the network model of YOLOv4 object detection algorithm is modified, and a depthwise separable convolution network is used instead of traditional convolution in the feature extraction network part to realize the lightweight of fire detection model. Then the Loss function is optimized to solve the problem of inaccurate object detection frame localization. The experimental results show that compared with YOLOv4, the improved algorithm reduces the model parameter by 60.7 % and the detection speed increases by 27.9 %. It is more favorable for the model to be equipped on mobile devices. © 2022 SPIE. All rights reserved.

关键词： Convolution

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Optimization of Buckling Stability of Spring Operating Mechanism of Vacuum Circuit Breaker Based on Tolerance Chain Simulation

Optimization of Buckling Stability of Spring Operating Mecha...

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International Conference on Electric Power equipment - Switching Technology (ICEPE-ST)

作者： Yimin You Xingyu Li Shuling Zhong Key Laboratory of High end Power Equipment and Intelligent Control Xiamen University of Technology Xiamen China

ISBN: (数字)9798350388947

ISBN: (纸本)9798350388954

This research focuses on optimizing the latching stability of spring operating mechanism. By analyzing the mechanical properties of the tripping mechanism, identifying key components, and investigating the impact of the latching volume on the circuit breaker's closed state, a dimensional chain model is established for tolerance chain calculation and analysis. It is found that the existing spring operating mechanism have insufficient tolerance matching, leading to deviations in the latching volume from the ideal range. Employing tolerance chain simulation, critical components and their dimensions are determined, assessing their sensitivity and contribution to performance. Integrating stress simulation analysis to account for the influence of key component deformation, design tolerances are optimized to meet technical specifications. This study effectively enhances the design reliability and operational performance of spring operating mechanism.

关键词： Sensitivity Deformation Circuit breakers Reliability engineering Stability analysis Circuit stability Springs Integrated circuit reliability Integrated circuit modeling Optimization

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A Fault Diagnosis Method for Molecular Pump Based on Dictionary Learning 2nd

A Fault Diagnosis Method for Molecular Pump Based on Diction...

引用

Conference Proceedings of 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering

作者： Jia, Kai Jiang, Ming Zuo, Guizhong Zhang, Zuchao Hou, Jilei Yuan, Xiaolin Key Laboratory of Advanced Perception and Intelligence Control of High-end Equipment Anhui Polytechnic University Wuhu241000 China School of Electrical Engineering Anhui Polytechnic University Wuhu241000 China Institute of Plasma Physics Chinese Academy of Science Hefei230031 China

ISBN: (纸本)9789819943333

The molecular pump fault results in a vacuum leakage and lead to accidents in a fusion device. The fault diagnosis for molecular pump can provide an early warning and avoid a greater loss in a fusion device. This paper proposed an innovative fault diagnosis method for molecular pump based on dictionary learning. Firstly, discrete cosine transform (DCT) is used to perform noise reduction. Then, the k-singular value decomposition (K-SVD) is used to train an over-complete dictionary of normal state signal and decomposed other state signal on the dictionary of normal state signal. Finally, the orthogonal matching pursuit (OMP) is used to reconstruct the signal and compare the reconstructed signal with the original signal, the molecular pump fault diagnosis is realized by the sparse representation error. The superiority of the proposed method in molecular pump fault diagnosis are shown by the experimental results. Compared with the traditional method, this approach is 8.79% more accurate. Our analyses also indicate that the proposed method can be used in fault diagnosis of molecular pump for EAST. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Failure analysis

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Multi-scale Object Detection Algorithm Based on Adaptive Feature Fusion 16th

Multi-scale Object Detection Algorithm Based on Adaptive Fea...

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16th Chinese Conference on Biometric Recognition, CCBR 2022

作者： Xu, Yue Wang, Fengsui Xie, Zhenglei Wang, Yunlong School of Electrical Engineering Anhui Polytechnic University Wuhu241000 China Anhui Key Laboratory of Detection Technology and Energy Saving Devices Wuhu241000 China Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of Education Wuhu241000 China

ISBN: (纸本)9783031202322

Aiming at the problem that each detection feature layer of the single-shot multibox detector (SSD) algorithm does not perform feature fusion and the detection effect is poor, an adaptive feature fusion SSD model is proposed. Firstly, the location of the shallow feature map and the multi-scale receptive field on the deep feature map are added, and the scaling and adaptive fusion of different scale feature maps are carried out to improve the representation ability of detail information. Secondly, the feature layer of the same scale can provide different ranges of feature information, transfer the specific features with detailed information to the abstract features with semantic information, and use the global average pool to guide learning and expand the expression ability of features. After training and testing on the PASCAL VOC data set, the detection accuracy reaches 80.6% and the detection speed reaches 60.9 fps, which verifies the robustness and real-time performance of the algorithm. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Object detection

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Lung Segmentation Network Based on Lightweight and Attention Fusion with U-Net 37

Lung Segmentation Network Based on Lightweight and Attention...

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37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022

作者： Chen, Liang Gao, Wengen Zhang, Chen Li, Pengfei High-end Equip. Advanced Perception and Intelligent Control Ministry of Education Heavy Laboratory School of Electrical Engineering Anhui Polytechnic University WuHu241000 China

ISBN: (纸本)9781665465366

In order to solve the problem that the traditional U-Net network is bloated, the amount of calculation and the amount of parameters are too large. We fuse the improved depthwise separable convolution of the lightweight network. In order to suppress the influence of background pixels in the image on the segmentation effect, attention gates are introduced to highlight the target area containing key information. We propose a MAU-Net network structure. It is verified by using the LUNA competition lung image dataset. When the calculation amount and parameter amount of the network are reduced by about 78% and 87% respectively compared with the original traditional U-Net. The LOSS of the experimental results on the test set is 0.012, the Accuracy reaches 0.992, and the IOU is 0.961, which is 1.5% higher than the traditional U-Net's Accuracy, and the evaluation index IOU is improved by 1.9%. It is proved that the improved MAU-Net network has better effect on lung parenchyma segmentation. © 2022 IEEE.

关键词： Convolution

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ABS/EBD Automobile Auxiliary Brake System based on CAN Bus 7

ABS/EBD Automobile Auxiliary Brake System based on CAN Bus

引用

7th International Symposium on System and Software Reliability, ISSSR 2021

作者： Qiu, Yueyou Fang, Junchu Zhu, Zhilong Ministry of Education College of Electrical Engineering Anhui Polytechnic University Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Wuhu China

ISBN: (纸本)9781665434317

Anti-lock braking system (ABS) can prevent the situation of front and rear wheels locked. However, the car having only ABS is not enough. For example, the distribution of braking force in the early stage of the car braking, and the car in the wet road starting acceleration. In the situation, the car requires ABS and other control systems of the car work together. In this paper, the electronic braking force distribution device (EBD) is integrated into the ABS to form the ABS/EBD braking system based on CAN bus. It consists of speed sensor, CAN bus, control unit and braking force distribution device. The system is used to improve the directional stability of braking before the ABS system starts. By measuring the slip rate of four wheels, the degree of locking is judged, so that the slip rate of four wheels is close, so that all wheels can be locked at the same time as much as possible. Compared with other braking force distribution systems, the system is characterized by the use of CAN bus as the carrier, which effectively improves the system's response ability and computing ability. It is also convenient to combine with other electronic systems on the car to form the intelligent network of the car. © 2021 IEEE.

关键词： Wheels

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An Optimized Design of an Electric Vehicle Wireless Charging Coupling Coil 4

An Optimized Design of an Electric Vehicle Wireless Charging...

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2021 4th International Conference on Mechanical, Electrical and Material Application, MEMA 2021

作者： Xie, Wei Chen, Qi-Gong Lei, Shou-Zhong Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Anhui Polytechnic University Anhui Province Wuhu241000 China

With the development of electric vehicle wireless charging technology, the transmission power and transmission efficiency of electric vehicle wireless charging system have become the focus of current research. The transmission power and efficiency of wireless charging system largely depend on the energy loss of two resonant coupling coils. The energy loss is mainly related to the structural parameters of the coupling coil and the coupling coefficient of the two coils. On this basis, the structure of the coupling coil is designed and optimized by using the finite element analysis software Maxwell, and a new combined transmitting coil structure is designed. Experiments and verification show that the coil design meets the requirements of transmission efficiency, which can provide a reference for the design of wireless charging coil of electric vehicle in the future. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Vehicle transmissions

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SOC estimation of lithium battery based on double modified ampere-hour integral method 37

SOC estimation of lithium battery based on double modified a...

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37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022

作者： Chen, Dong Gao, Wengen Zhang, Chen Chen, Liang High-end Equip. Advanced Perception and Intelligent Control School of Electrical Engineering Anhui Polytechnic University Ministry of Education Heavy Laboratory WuHu241000 China

ISBN: (纸本)9781665465366

When the ampere-hour integral method estimates the battery SOC, the initial value of the SOC in the definition is difficult to determine and the cumulative error caused by the open-loop operation often makes the estimation result inaccurate, which is not conducive to the driver's judgment of the actual remaining battery power, and the safety Adverse effects are coming. This paper uses the open circuit voltage method to modify the initial value of SOC by studying the characteristics of the SOC-OCV curve. And using the partial correlation coefficient to add different weights to the factors that affect the actual capacity of the battery to modify the actual capacity of the battery, thereby eliminating the ampere-hour integral Method due to the cumulative error caused by open-loop calculation. Experimental simulation shows that the ampere-hour integral method modified twice can accurately estimate the SOC of lithium battery, and the estimation accuracy is within 1.6%, which basically solves the problems of the initial SOC value inaccuracy of ampere-hour integral method and the accumulated error caused by the open-loop operation. © 2022 IEEE.

关键词： Lithium batteries

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