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Chinese Automation Congress (CAC)

作者： Yuan Dai Yanghui Ou Junwei Hu Zuowei Ping Xinghua Xu Yong Zhang School of Information Science and Engineering Wuhan University of Science and Technology Wuhan China Wuhan Second Ship Design and Research Institute Wuhan China National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China

In order to resolve the problem that the traditional fault diagnosis methods can not accurately diagnose under complex working conditions and few fault data, a fault diagnosis method based on meta-learning and time convolution network (TCN) is proposed in this paper. Firstly, Ensemble Empirical Mode Decomposition-Independent Component Analysis (EEMDICA) is used to denoise the original signals under different working conditions, and the acquired signals are randomly sampled to form meta tasks according to the meta-learning protocol. Through the TCN model training, the priori knowledge is obtained by optimizing the initialization parameters. The knowledge is used to improve accuracy in unforeseen condition tasks. Finally, simulation experiments are carried out on the gearbox dataset. The results indicate that the method has advantages in solving the fault classification problem of few shot gearbox under complex working conditions.

关键词： Employee welfare Fault diagnosis Training Protocols Automation Convolution Task analysis

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Preliminary research on the irradiation-thermal-mechanical coupling behavior simulation method of FCM fuel

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International Journal of Advanced Nuclear reactor design and technology 2019年 1卷 51-56页

作者： Changbing, Tang Yongjun, Jiao Yuanming, Li Yi, Zhou Hua, Pang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institution of China No. 328 Section 1 Changshun Avenue ChengduSichuan610041 China

FCM fuel (fully ceramic micro-encapsulated fuel) which is a promising ATF (accident tolerant fuel) candidate fuel. Establishing the irradiation-thermal-mechanical coupling behavior simulation method of FCM fuel accurately, would be very helpful for the optimal design of FCM fuel. In this research, TRSIO particles were assumed to be uniformly distributed in the silicon carbide (SiC) matrix, and the corresponding representative volume element (RVE) models were established. Based on ABAQUS commercial software, the thermal effects and irradiation effects of FCM fuel were all introduced into this numerical simulation by coding the UMAT subroutine, and then the irradiation - thermal - mechanical coupling behavior simulation method of FCM fuel was preliminary established. Compared with the simulation result of BISON software in open literature, the simulation results of this numerical simulation method are basically consistent with those of BISON software, the effectiveness of this numerical simulation method was preliminary verified. © 2019 Xi'an Jiaotong University

关键词： Irradiation

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Research on Robot Optimal Working Space Based on Spiral Theory

Research on Robot Optimal Working Space Based on Spiral Theo...

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2022 International Symposium on Robotics, Artificial Intelligence, and Information Engineering, RAIIE 2022

作者： Li, Yu-Fei Ge, Wei-Min Zhang, Zhi-Li Zhao, Xiang-Bin College of Mechanical Engineering TianJin University of Technology TianJin province TianJin300074 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China Intelligent Manufacturing College Tianjin Sino-German University of Applied Science Tianjin300350 China

ISBN: (纸本)9781510660137

Because industrial robots have uneven positioning accuracy in the overall working space, they have greatly limited their applications in the fields of high-precision production and *** this status quo, this article focuses on analyzing the optimal working space of industrial robots, and screening and limiting the optimal working scope of the selected industrial robots to ensure that the robot end is at a relatively high position with high positioning *** article selects the collaborative robot AUBO E3 for modeling, analysis and simulation. Calculate the robot based on the Jacques matrix and the number of conditions under the spiral theory, quantitatively depict the exercise performance of the *** excellent working space is visually simulated, and finally uses the API laser tracker to measure the end error of the robot. As a result, the accuracy of the end point in the optimal working space is higher than the endpoint accuracy of the overall work space. © 2022 SPIE.

关键词： Industrial robots

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Analysis of Thermal-Hydraulic Best-Estimate Program Against the Downcomer Countercurrent Flow Limitation

SSRN

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SSRN 2022年

作者： Li, Xiang Sun, Wan Ding, Shuhua Huang, Tao Ma, Zaiyong Zhang, Luteng Zhu, Longxiang Pan, Liangming Key Laboratory of Low-Grade Energy Utilization Technologies & Systems Chongqing University Ministry of Education Chongqing400044 China Department of Nuclear Engineering and Technology Chongqing University Chongqing400044 China Key laboratory of nuclear reactor system design technology Nuclear Power Institute of China Chengdu610044 China

The relevance of the countercurrent flow limitation phenomenon is known in nuclear (emergency core cooling and accident situations) industries, such as a Loss of Coolant Accident (LOCA). The occurrence of countercurrent flow limitation (CCFL), which can exist in a host of places around the nuclear reactor system, will prevent the emergency cooling water, which is necessary to cool the core of successfully flowing into the core from the downcomer of Pressurized Water reactor (PWR) in the LOCA. Accurate prediction of the downcomer CCFL phenomenon is significant for the design and analysis of reactor safety. Among the experiments at Upper Plenum Test Facility (UPTF), various tests, test 6 and test 7 are studied in this research. The conservatively evaluated using the best-estimate program RELAP5/MOD3.3 to predict the CCFL phenomenon at the downcomer. Above all, the methodology of node partition for the channels with cross-connections to represent the circumferential downcomer annulus was also studied. In particular, the nodes along circumferential direction had a vital effect on the prediction of the steam velocity profile of downcomers. The influence of the CCFL model, including the most widely used Wallis-type and Kutateladze-type correlations, and the cooling limited liquid-downflow behavior were analyzed. In addition, the pressure on the downcomer and steam flow rate of the break were monitored, and the predicted results were also analyzed. © 2022, The Authors. All rights reserved.

关键词： Loss of coolant accidents

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Microresonator Frequency Comb-Based Transmission of Intensity Modulated Direct Detection Data

Microresonator Frequency Comb-Based Transmission of Intensit...

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CLEO: science and Innovations, S and I 2022

作者： Xing, Peng Chen, George F.R. Gao, Hongwei Chia, Xavier Agarwal, Anuradha M. Kimerling, Lionel C. Tan, Dawn T.H. Photonics Devices and System Group Singapore University of Technology and Design 8 Somapah Rd Singapore487372 Singapore Institute of Microelectronics A*STAR 2 Fusionopolis Way #08-02 Innovis Tower Singapore138634 Singapore Microphotonics Center Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Materials Research Laboratory Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Department of Materials Science and Engineering Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States

We demonstrate high-speed transmission of 30Gbaud NRZ and PAM4 data using a silicon nitride microresonator frequency comb. We achieve bit-error-rates below the FEC limit and a low power penalty of 0.1dB compared to B2... 详细信息

ISBN: (纸本)9781557528209

关键词： Microresonators

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Exploration of Electronic Structure and Optical Properties Hafnium (IV) Oxide and Its 12% Si, Ge and Sn with Material Data Analysis by Computational Methods 4th

Exploration of Electronic Structure and Optical Properties H...

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International Conference on 4th Industrial Revolution and Beyond, IC4IR 2021

作者： Chakma, Unesco Kumer, Ajoy Hossain, Tomal Sayed Hossain, Md. Monsur Alam, Md. Khandakar, Nusrat Jahan Shariful Islam, Md. Shaikh, Rubel Hazrat Ali, Md. Department of Electrical and Electronics Engineering European University of Bangladesh Gabtoli Dhaka1216 Bangladesh Laboratory of Computational Research for Drug Design and Material Science Department of Chemistry European University of Bangladesh Gabtoli Dhaka1216 Bangladesh Department of Chemistry Bangladesh University of Engineering Technology Dhaka1000 Bangladesh Center for Research Reactor Bangladesh Atomic Energy Commission Dhaka Bangladesh Department of Civil Engineering European University of Bangladesh Gabtoli Dhaka1216 Bangladesh European University of Bangladesh Gabtoli Dhaka1216 Bangladesh

ISBN: (纸本)9789811980312

This research work conveys the computational analysis of hafnium (IV) oxide and its doped crystal by Si, Ge and Sn replacing on the oxygen atom in HfO2, as hafnium (IV) oxide has been used in power-electronics devices of MOSFETs and electronics as RRAM due to wide band gap which makes a vast problems creating high resistances. Regarding this case, the hafnium (IV) oxide has selected inputs how the band gap has decreased later than doping by the large surface area atoms, such as Si, Ge and Sn. The first principle method in view of density functional theory (DFT) expresses the structural geometry, electronic structure and optical properties utilizing conformist calculations pertaining to HfO2 executing the computational avenue of the CASTAP regulation from material studio 8.0. The band gap was found in 4.340 eV, 2.033 eV, 1.686 eV and 3.210 eV for HfO2, Hf0.88Si0.12O2 Hf0.88Ge0.12O2 and Hf0.88Sn0.12O2 crystals through the Generalized Gradient Approximation (GGA) with Perdew Burke Ernzerhof (PBE), and the DFT and PDOS were simulated for evaluating the nature of 6s2, 5p6, 4f14, 5d2 orbital for a Hf atom, 3s2, 2p6 orbital for Si atom, 4s2,3p6, 3d10 orbital for Ge atom, 4d10, 5s2, 5p2 for Sn atom, 2s and 2p orbital for O atom of Hf0.88Ge0.12O2 and Hf0.88Sn0.12O2 crystals. The optical properties, for instance, absorption, reflection, refractive index, conductivity, dielectric function and loss function, were calculated. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Energy gap

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Noncontact Doppler Radar-based Heart Rate Detection on the SVD and ANC

Noncontact Doppler Radar-based Heart Rate Detection on the S...

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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Shi, Qiuxia Hu, Bin Tian, Fuze Zhao, Qinglin Gansu Provincial Key Laboratory of Wearable Computing School of Information Science and Engineering Lanzhou University China School of Computer and Communication Lanzhou University of Technology China Key Laboratory of Special Functional Materials and Structural Design Lanzhou University Ministry of Education Lanzhou China CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences China Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University Institute of Semiconductors Chinese Academy of Sciences China Engineering Research Center of Open Source Software and Real-Time System Lanzhou University Ministry of Education China

ISBN: (纸本)9781665468190

In the Doppler biological radar-based applications of noncontact measurement of vital signs, effectively extracting heartbeat information from weak thoracic mechanical motion is an important problem to be solved. This study is aimed at extracting heartbeat signal via the technology combined with Short Time Fourier Transform (STFT), Singular Value Decomposition (SVD) and Adaptive Noise Canceller (ANC) from radar recording. The simulated data and the data collected by Doppler radar biosensor realized in laboratory are employed to validate the proposed method. The results show that the proposed method has the ability of detection for the heart rate and heart rate variability indexes in rest state, it has certain advantages in time-consuming and detection accuracy. Therefore, the current method provides another way to process vital sign signals recorded by Doppler radar. © 2022 IEEE.

关键词： Singular value decomposition

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Load-bearing behaviors of sandwich plates with non-uniformly distributed grid cores: Dynamic impact and blast

Research Square

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Research Square 2024年

作者： Wang, Youlong Yang, Haixia Chen, Jie Ma, Quanjin Song, Yiheng Key Laboratory of Concrete and Prestressed Concrete Structures Ministry of Education School of Civil Engineering Southeast University Nanjing211189 China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen518055 China School of Engineering The University of Tokyo Tokyo113-8656 Japan

Sandwich plates with grid-core structures possess extensive applications, and non-uniform grid plates (NUGPs) show enhanced potential under varied loading modes. The current study embarks on an investigation into NUGPs by adjusting the dimensions of transverse and longitudinal grid walls. This comprehensive analysis explores the dynamic responses of these plates when subjected to impact and blast loads, focusing on deformation patterns, damage, and the underlying processes. The findings are illustrated as follows. 1) NUGPs, specifically those with an optimized configuration of grid walls termed the d2 structure, display improved resistance to blast and impact loads compared to their uniformly distributed grid plate counterparts. Notably, designs featuring a less dense grid in the central area yield a more evenly distributed damage pattern under impact loads and a lesser severity of damage from blast loads. 2) The study also reveals that under impact loads, the sandwich structure showcases distinct behaviors through three stages evident in the load-displacement curves: initial localized indentation, followed by overall deformation, and ending with deformation recovery. 3) Moreover, when facing blast loads, the initial response involves rapid plastic deformation of the upper skin, succeeded by compression and buckling of the core. This sequence effectively dissipates energy, acting as a protective shield for the lower skin. 4) The optimized NUGPs design achieves a perfect balance between stiffness and ductility, reducing displacement through adequate stiffness while ensuring the effective absorption of dynamic forces through significant ductility, thus preventing catastrophic failure. This research significantly advances topology optimization for sandwich plates, providing essential insights for designing lightweight structures resilient under various modes. © 2024, CC BY.

关键词： Stiffness

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Effective Strengthening and Toughening in High Entropy-Alloy by Combining Extrusion Machining and Heat Treatment

SSRN

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SSRN 2022年

作者： Pu, Zhuo Cai, Songlin L. Dai, Lan-Hong Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610200 China State Key Laboratory of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences Beijing100190 China School of Engineering Science University of Chinese Academy of Sciences Beijing100049 China CAS Center for Excellence in Complex System Mechanics Beijing100190 China China Electric Power Research Institute State Grid Corporation of China Beijing100192 China

This study presents an effective strengthening and toughening approach to improve tensile properties of CrMnFeCoNi high entropy-alloy (HEA) by combining extrusion machining and short-time heat treatment. After such process, preliminary structural heterogeneity has been achieved in this alloy, of which the strength is significantly enhanced while good elongation is retained compared to its homogeneous counterparts. Microstructural characterization reveals varying degrees of partial recrystallization with more or less dislocation density for HEAs under different treatment. It is such structural inhomogeneity that imparts this alloy with good strain hardening ability at high flow stress levels. © 2022, The Authors. All rights reserved.

关键词： Strain hardening

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Boosting weather forecast via generative superensemble

arXiv

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arXiv 2024年

作者： Nai, Congyi Chen, Xi Yang, Shangshang Liang, Yuan Xiao, Ziniu Pan, Baoxiang Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Science Beijing China Institute of Atmospheric Physics Chinese Academy of Science Beijing China School of Engineering and Design Technical University of Munich Munich Germany Potsdam Institute for Climate Impact Research Potsdam Germany TianJi Weather Science and Technology Company Beijing China

Accurate weather forecasting is essential for socioeconomic activities. While data-driven forecasting demonstrates superior predictive capabilities over traditional Numerical Weather Prediction (NWP) with reduced computational demands, its deterministic nature and limited advantages over physics-based ensemble predictions restrict operational applications. We introduce the generative ensemble prediction system (GenEPS) framework to address these limitations by randomizing and mitigating both random errors and systematic biases. GenEPS provides a plug-and-play ensemble forecasting capability for deterministic models to eliminate random errors, while incorporating cross-model integration for cross-model ensembles to address systematic biases. The framework culminates in a superensemble approach utilizing all available data-driven models to further minimize systematic biases. GenEPS achieves an Anomaly Correlation Coefficient (ACC) of 0.679 for 500hPa geopotential (Z500), exceeding the ECMWF Ensemble Prediction system’s (ENS) ACC of 0.646. Integration of the ECMWF ensemble mean further improves the ACC to 0.683. The framework also enhances extreme event representation and produces energy spectra more consistent with ERA5 reanalysis. GenEPS establishes a new paradigm in ensemble forecasting by enabling the integration of multiple data-driven models into a high-performing super-ensemble system. © 2024, CC BY-NC-SA.

关键词： Prediction models

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