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Cardo poly (ether sulfone) toughened E51/DETDA epoxy resin and its carbon fiber composites

新型炭材料（中英文） 2024年第4期39卷 681-691页

作者： WU Rong-peng ZHANG Xing-hua WEI Xing-hai JING De-qi SU Wei-guo ZHANG Shou-chun Research Center of Advanced Thermoplastic Composites Engineering Institute of Coal ChemistryChinese Academy SciencesTaiyuan 030001China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Carbon Materials Institute of Coal ChemistryChinese Academy SciencesTaiyuan 030001China National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of EngineeringWuhan 430033China

A toughener that can effectively improve the interlaminar toughness in carbon fiber composites is crucial for various *** investigated,the toughening effects of phenolphthalein-based cardo poly(ether sulfone)(PES-C)on E51/DETDA epoxy and its carbon fiber composites(CFCs).Scanning electron microscopy showed that the phase structures of PES-C/epoxy blends change from island(of dispersed phase)structures to bi-continuous structures(of the matrix)as the PES-C content increased,which is associated with reaction-induced phase *** adding 15 phr PES-C,the glass transition temperature(T_(g))of the blends increased by 51.5℃,and the flexural strength,impact strength and fracture toughness of the blends were improved by 41.1%,186.2%and 42.7%,*** improvements could be attributed to the phase separation structure of the PES-C/epoxy sys-tem.A PES-C film was used to improve the mode-II fracture toughness(G_(IIC))of *** G_(IIC) value of the 7μm PES-C film toughened laminate was improved by 80.3%compared to that of the control *** increase in G_(IIC) was attributed to cohesive failure and plastic deformation in the interleaving region.

关键词： Epoxy resin CFRP PES-C Toughness

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Few-Shot Gearbox Fault Diagnosis Based on Semi-Supervised Prototypical Network and Contrastive Learning

Few-Shot Gearbox Fault Diagnosis Based on Semi-Supervised Pr...

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Chinese Automation Congress (CAC)

作者： Shulie Cheng Yingjie Liang Zuowei Ping Xuechao Liao Maolin Wang Yong Zhang School of Information Science and Engineering Wuhan University of Science and Technology Wuhan China National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

Due to the scarcity of labeled faulty data in industrial practice, fault diagnosis models often face challenges related to overfitting and limited accuracy. This article introduces a novel solution to tackle the problem—a fault diagnosis method that leverages a combination of a semi-supervised prototype network and contrastive learning. Firstly, a limited number of labeled samples is employed to construct pairs of positive and negative samples. And the training method of contrastive learning is used to provide appropriate initial parameters for the autoencoder. Secondly, the autoencoder is employed as a feature mapping function within the prototype network and obtains the prototype using a limited number of labeled samples. Finally, a prototype refinement method fine-tunes the prototype through unlabeled data, reducing the impact of anomalous data and obtaining a more stable and accurate prototype. The effectiveness of the proposed method is evaluated using gearbox data as a validation dataset. Through comparative analysis with other methods, the results demonstrate that the proposed approach achieves superior diagnostic accuracy.

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Scattering Environment Analysis of Quantum Radar for the Typical 2D target

Scattering Environment Analysis of Quantum Radar for the Typ...

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International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)

作者： Chonghua Fang Shi Xinyang Liu Qifeng Lei Feifei Wang Dongdong Science and Technology on Electromagnetic Compatibility Laboratory China Ship Development and Design Centre Wuhan China Wuhan Maritime Communication Research Institute Wuhan China State Key Laboratory of Power Transmission Equipment and System Security and New Technology School of Electrical Engineering Chongqing University Chongqing China Science and Technology on Electromagnetic Compatibility Laboratory Wuhan Ship Development and Design Institute Co.Ltd Wuhan China

ISBN: (数字)9781728169668

ISBN: (纸本)9781728169675

Quantum radar may become a revolutionary technology in the battlefield of the electromagnetic environment. In this work, we proposed a simulational analysis of the quantum radar scattering environment for the typical 2D target. By following the recent set-up of a principle prototype, we gave the data in both monostatic and bistatic scattering scenarios based on our calculation of the quantum radar cross section. In particular, we used the convenient analysis formulas instead of the traditional numerical algorithm in this simulation. Finally, our results showed that both monostatic and bistatic scattering data are relatively significant so that this set-up of simulation may be useful for the experimental feasibility.

关键词： Two dimensional displays Electromagnetic scattering Prototypes Numerical models Scattering parameters Electromagnetics Quantum radar

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A novel double-loop control strategy and its precise parameters tuning method

A novel double-loop control strategy and its precise paramet...

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Annual Conference of Industrial Electronics Society

作者： Bofeng Gao Xinchun Lin Shan Gao Zhigang Liang State Key Laboratory of Advanced Electromagnetic Engineering and Technology University of Science and Technology Wuhan P. R. China National Key Laboratory for Vessel Integrated Power System Technology Naval University of Engineering Wuhan P. R. China

With the rapid development of hardware and the improvement of control performance requirements, digital control is widely used in power electronics. And due to the mature analysis methods and convenient implantation, the traditional linear control strategies, such as PID control, are directly applied to the design of digital controllers in industrial application. However, as the control delay and the designing process approximation, most digital controllers do not achieve the desired performance indexes and its parameters need to be tested repeatedly when simply adopting traditional control strategies. In view of this above problems, taking the application in inverter systems as an example, the discrete state space model of the inverter is derived with the consideration of one beat control delay. In order to design the controller accurately, this paper proposes a double-loop control strategy in which proportional controller is used for current loop and PI plus state feedback controller is used for voltage loop. Particularly, the designing process of current loop and voltage loop is relatively independent, and the parameters of the voltage loop controller are precisely calculated according to the indexes of overshoot and bandwidth. The proposed control strategy and its parameters tuning method is verified on a platform of 30kVA 115V/400Hz inverter power.

关键词： Inverters Voltage control Delays Aerospace electronics State feedback IP networks Tuning

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Ray-Tracking Simulation and Analysis of Propagation for Typical Scene of High Speed Maglev

Ray-Tracking Simulation and Analysis of Propagation for Typi...

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International Conference on Communication technology (ICCT)

作者： Chen Kewei Liu Hongbo Liang Jiaqi Liu Qintao College of Electronic Engineering Naval University of Engineering Wuhan China National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China

ISBN: (纸本)9781665432078

The propagation of 38 GHz and 3.5 GHz in typical scenarios of high-speed maglev train is studied. Referring to the magnetic field configuration of Shanghai Maglev, the viaduct and tunnel scenes are modeled and simulated. The propagation characteristics at 38GHz and 3.5GHz are compared in terms of receiving power and Doppler frequency shift, and the broadband path loss and delay spectrum parameters are modeled, which provides suggestions for the design of high-speed data transmission communication system.

关键词： Reflectivity Doppler shift Magnetic levitation vehicles Scattering Propagation losses Data models Magnetic analysis

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Applications of vacuum vapor deposition for perovskite solar cells:A progress review

iEnergy

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iEnergy 2022年第4期1卷 434-452页

作者： Hang Li Mingzhen Liu Meicheng Li Hyesung Park Nripan Mathews Yabing Qi Xiaodan Zhang Henk J.Bolink Karl Leo Michael Graetzel Chenyi Yi State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijing 100084China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of New EnergyNorth China Electric Power UniversityBeijing 102206China Department of Materials Science and Engineering Graduate School of Semiconductor Materials and Devices EngineeringPerovtronics Research CenterLow Dimensional Carbon Materials CenterUlsan National Institute of Science and TechnologyUlsan 44919Republic of Korea Energy Research Institute@NTU(ERI@N) Nanyang Technological UniversitySingapore 637553Singapore Energy Materials and Surface Sciences Unit(EMSSU) Okinawa Institute of Science and Technology Graduate University(OIST)1919-1 TanchaOnna-sonOkinawa 904-0495Japan Institute of Photoelectronic Thin Film Devices and Technology Renewable Energy Conversion and Storage CenterSolar Energy Con-version CenterNankai UniversityTianjin 300350China Instituto de Ciencia Molecular Universidad de ValenciaC/Catedrático J.Beltrán 246980 PaternaSpain Integrated Centre for Applied Physics and Photonic Materials(IAPP)and the Centre for Advancing Electronics Dresden(CFAED) Technische Universitaet Dresden01062 DresdenGermany Laboratory of Photonics and Interfaces(LPI) Ecole Polytechnique Fed-erale de Lausanne1015 LausanneSwitzerland

Metal halide perovskite solar cells(PSCs)have made substantial progress in power conversion efficiency(PCE)and stability in the past decade thanks to the advancements in perovskite deposition methodology,charge transport layer(CTL)optimization,and encapsulation ***-based methods have been intensively investigated and a 25.7% certified efficiency has been *** vapor deposition protocols were less studied,but have nevertheless received increasing attention from industry and academia due to the great potential for large-area module fabrication,facile integration with tandem solar cell architectures,and compatibility with industrial manufacturing *** this article,we systematically discuss the applications of several promising vacuum vapor deposition techniques,namely thermal evaporation,chemical vapor deposition(CVD),atomic layer deposition(ALD),magnetron sputtering,pulsed laser deposition(PLD),and electron beam evaporation(e-beam evaporation)in the fabrication of CTLs,perovskite absorbers,encapsulants,and connection layers for monolithic tandem solar cells.

关键词： Perovskite solar cells vacuum vapor deposition thermal evaporation stability efficiency industrial manufacture

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Multimodal Remote Sensing Image Registration Based on Local Phase Congruency and Keypoint Filtering

Multimodal Remote Sensing Image Registration Based on Local ...

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Chinese Automation Congress (CAC)

作者： Tao Ma Weijian Huang Linlin Du Chun Wang Shuangquan Ge Yunfei Liu Kun Yu Institute of Computer Application China Academy of Engineering Physics Mianyang China National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China

Robust registration is able to register the complementary information captured by multimodal images. Owning to the nonlinear intensity differences and repeating patterns in multimodal images, many classic descriptors are unable to achieve good performance. Aiming at this problem, a remote sensing image registration method based on key point description and filtering is proposed. First, this work utilizes a new keypoint descriptor with Log-Gabor filters to characterize the oriented phase congruency information in multimodal images. Then, a keypoint filtering is performed on all descriptors by mean-shift clustering to remove the repeating patterns. This approach is evaluated on three commonly used data sets, which are used for structure map construction and image registration comparisons. The experimental results show that the proposed method is able to preserve highly similar structure features and remove most repeating keypoints in multimodal images, which indicates this method is efficient and can achieve good registration performance.

关键词： Image registration Automation Information filters Feature extraction Computational efficiency Registers Remote sensing

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A design of hardware-in-the-loop real-time simulation for large-scale complex electromechanical system

A design of hardware-in-the-loop real-time simulation for la...

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CSAA/IET International Conference on Aircraft Utility systems (AUS 2018)

作者： Zhentian Liu Guangsen Wang Chengmei Lin Zhiwei Wang Jing Li National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval Univ. of Engineering Wuhan China Wuhan Marine Machinery Co. Ltd Wuhan China

ISBN: (纸本)9781510872745

The more electric aircraft (MEA), belonging to the large-scale complex electromechanical system (LSCES), always has a large-scale complex structure, of which the design, testing, and evaluation may be a challenging task. In order to analyze the impact of various factors on the system performance and reduce the potential risk, it is advantageous to establish a hardware-in-the-loop (HIL) real-time simulation platform for MEA. From this purpose, some key processes are suggested to clear the way for an efficient and accurate design. First, the principles of system partitioning and high-performance communication network are presented for distributed parallel computation. Then, algorithms are discussed and compared aiming to compensate inter-simulation time-step switching error caused by high-frequency switches which are widely used in MEA. Finally, an automation test method based on Monte Carlo (MC) and Genetic Algorithm (GA) methodology is proposed. In the experimental part, a permanent magnet synchronous motor (PMSM) in HIL mode is presented to demonstrate the practicality, with the results of the offline and real-time simulation compared. In short, this paper provides a guidance for establishing an HIL platform for LSCES.

关键词： MEA Large-scale complex electromechanical system Real-time simulation Monte cario Genetic algorithm

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High-Performance Object Detection for Optical Remote Sensing Images with Lightweight Convolutional Neural Networks

High-Performance Object Detection for Optical Remote Sensing...

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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Jia Liu Renhua Liu Kaijun Ren Xiaoyong Li Jianjian Xiang Shaohua Qiu School of Computer Science China University of Geosciences Wuhan China College of Meteorology and Oceanography National University of Defense Technology Changsha China National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China

ISBN: (纸本)9781728176499;9781728176505

Convolutional neural network (CNN)-based object detection for optical remote sensing images has achieved higher accuracy compared with traditional detection methods with handcrafted features. However, the deep and large CNNs make it hard to be deployed in real-time scenarios with limited computation, storage, power and bandwidth resources, for example, data processing onboard airborne, satellites and unmanned aerial vehicles for search and rescue. Therefore, in this paper we present a high-performance object detection approach for optical remote sensing images. Based on the widely used Faster R-CNN framework, we integrate state-of-the-art lightweight CNNs as backbone to extract features, slim the heavy-head architecture of two-stage detector by reducing dimensions of features, and fine-tune our models with NWPU VHR-10 optical remote sensing dataset. Besides, the multi-threading for CPU and detection in batches for GPU are deployed to enhance the throughput of detectors and utilization of multi-core CPU and many-core GPU. Experiments show that our presented detection approach can significantly reduce the model size, computation complexity and detection time, while maintaining competitive accuracy. Specifically, the one with ShuffleNet-v2 and slimmed features has achieved a highest mean average precision of 94.39%, a lowest computational complexity of 18.97 Giga floating point operations, a highest detection speed of 90.10 frames per second (fps) for GPU and 3.07 fps for CPU, corresponding to speedups of 6.94X and 13.26X compared with the baseline on the benchmarked system, with a model size of 13.6 MB. Moreover, it further improves the efficiency and achieves 4.98 fps on CPU with 4 threads, and 200.24 fps on GPU with a batch size of 32.

关键词： Computational modeling Graphics processing units Object detection Optical computing Detectors Optical fiber networks Optical detectors

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Machine Learning for Complex systems with Abnormal Pattern by Exception Maximization Outlier Detection Method

arXiv

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arXiv 2024年

作者： Zhang, Zhikun Duan, Yiting Wang, Xiangjun Zhang, Mingyuan School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan430074 China School of Reliability and Systems Engineering Beihang University Beijing100091 China National Key Laboratory of Science and Technology on Vessel Integrated Power System Wuhan430033 China

This paper proposes a novel fast online methodology for outlier detection called the exception maximization outlier detection method(EMODM), which employs probabilistic models and statistical algorithms to detect abnormal patterns from the outputs of complex systems. The EMODM is based on a two-state Gaussian mixture model and demonstrates strong performance in probability anomaly detection working on real-time raw data rather than using special prior distribution information. We confirm this using the synthetic data from two numerical cases. For the real-world data, we have detected the short circuit pattern of the circuit system using EMODM by the current and voltage output of a three-phase inverter. The EMODM also found an abnormal period due to COVID-19 in the insured unemployment data of 53 regions in the United States from 2000 to 2024. The application of EMODM to these two real-life datasets demonstrated the effectiveness and accuracy of our algorithm. © 2024, CC BY.

关键词： Anomaly detection

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