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Operando chemo-mechanical evolution in LiNi0.8Co0.1Mn0.1O2 cathodes

National Science Review 2024年第9期11卷 253-263页

作者： Yi Zhang Shuaipeng Hao Fei Pei Xiangpeng Xiao Chang Lu Xing Lin Zhe Li Haijin Ji Yue Shen Lixia Yuan Zhen Li Yunhui Huang State Key Laboratory of Material Processing and Die & Mould Technology School of Materials Science and EngineeringHuazhong University of Science and Technology School of Optical and Electronic Information National Engineering Laboratory for Next Generation Internet Access SystemWuhan National Laboratory for OptoelectronicsHuazhong University of Science and Technology Gatan Inc.& EDAX LLC. AMETEK Commercial Enterprise (Shanghai)Co. Ltd.Pilot Free Trade Zone Department of Physics The Chinese University of Hong Kong

Ni-rich LiNixCoyMnzO2（NCMxyz,x+y+z=1,x≥0.8） layered oxide materials are considered the main cathode materials for high-energy-density Li-ion ***,the endless cracking of polycrystalline NCM materials caused by stress accelerates the loss of active materials and electrolyte decomposition,limiting the cycle ***,understanding the chemo-mechanical evolution during（de）lithiation of NCM materials is crucial to performance *** this work,an optical fiber with με resolution is designed to in operando detect the stress evolution of a polycrystalline LiNi0.8Co0.1Mn0.1O2（P-NCM811） cathode during *** integrating the sensor inside the cathode,the stress variation of P-NCM811 is completely transferred to the optical *** find that the anisotropy of primary particles leads to the appearance of structural stress,inducing the formation of microcracks in polycrystalline particles,which is the main reason for capacity *** isotropy of primary particles reduces the structural stress of polycrystalline particles,eliminating the generation of ***,the P-NCM811 with an ordered arrangement structure delivered high electrochemical performance with capacity retention of 82% over 500 *** work provides a brand-new perspective with regard to understanding the operando chemo-mechanical evolution of NCM materials during battery operation,and guides the design of electrode materials for rechargeable batteries.

关键词： Ni-rich layered oxide cathode in operando stress monitoring polycrystalline chemo-mechanical evolution

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A Semisupervised Soft-Sensor of Just-in-Time Learning With Structure Entropy Clustering and Applications for Industrial Processes Monitoring

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第4期4卷 722-733页

作者： Li, Dong Liu, Yiqi Huang, Daoping Xu, Chong South China University of Technology Key Laboratory of Autonomous Systems and Networked Control Ministry of Education School of Automation Science and Engineering Guangzhou510640 China Technical University of Denmark Process and Systems Engineering Center Department of Chemical and Biochemical Engineering Lyngby2800 Denmark South China University of Technology School of Automation Science and Engineering Guangzhou510640 China Gannan Normal University School of Physics and Electronic Information Ganzhou341000 China

To monitor industrial processes properly, soft-sensors are widely used to predict significant but difficult-to-measure quality variables. However, the prediction performances of traditional data-driven soft-sensors are usually unacceptable once suffering from high-nonlinear, high-dimension, and imblance data issues. Therefore, a semisupervised soft-sensor, which is learned by a just-in-time method with structure entropy clustering (SS-JITL-SEC), is proposed aiming to improve prediction performance with a simpler way. Inspired by a divide and conquer strategy, a novel SEC method is proposed to achieve several clusters and then to translate the highly complex and nonlinear modeling problems into simple and linear ones. Moreover, the training dataset is extended through a mixed SS labeling approach. Finally, dissimilarity-based JITL works together with the resulting clustering subdatasets to formulate a local adaptive prediction model. Two datasets from different types of wastewater treatment plants are used to verify the effectiveness of the proposed soft-sensor. The results show that the SS-JITL-SEC soft-sensor can achieve better prediction performance than other standard counterparts, and even for effective process monitoring with the resulted residuals. © 2020 IEEE.

关键词： Entropy

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Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 932-945页

作者： Bin Yang Yaguo Lei Xiang Li Naipeng Li Asoke K.Nandi the Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System the School of Mechanical EngineeringXi’an Jiaotong UniveristyXi’an 710049 the Hunan Provincial Key Labortory of Health Maintenance for Mechanical Equipment Hunan Univeristy of Science and TechnologyXiangtan 411201China the Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an Jiaotong UniveristyXi’an 710049China the Department of Electronic and Electrical Engineering Brunel University LondonUxbridge UB83PHUK

The success of deep transfer learning in fault diagnosis is attributed to the collection of high-quality labeled data from the source ***,in engineering scenarios,achieving such high-quality label annotation is difficult and *** incorrect label annotation produces two negative effects:1)the complex decision boundary of diagnosis models lowers the generalization performance on the target domain,and2)the distribution of target domain samples becomes misaligned with the false-labeled *** overcome these negative effects,this article proposes a solution called the label recovery and trajectory designable network(LRTDN).LRTDN consists of three ***,a residual network with dual classifiers is to learn features from cross-domain ***,an annotation check module is constructed to generate a label anomaly indicator that could modify the abnormal labels of false-labeled samples in the source *** the training of relabeled samples,the complexity of diagnosis model is reduced via semi-supervised ***,the adaptation trajectories are designed for sample distributions across *** ensures that the target domain samples are only adapted with the pure-labeled *** LRTDN is verified by two case studies,in which the diagnosis knowledge of bearings is transferred across different working conditions as well as different yet related *** results show that LRTDN offers a high diagnosis accuracy even in the presence of incorrect annotation.

关键词： Deep transfer learning domain adaptation incorrect label annotation intelligent fault diagnosis rotating machines

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Many Objectives Autonomous Robot Path Planning with Improved MOEA/D 13

Many Objectives Autonomous Robot Path Planning with Improved...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Zhou, Jin Chieng, David Lee, Boon Giin Ji, Junkai Li, Jianqiang University of Nottingham Ningbo China Next-Generation Internet of Everything Laboratory Department of Electrical and Electronic Engineering Ningbo China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen China

ISBN: (纸本)9798350308365

Path planning is the core of autonomous robot navigation, which helps the robot to find a collision-free path to the destination based on the environment information. Most current path planning methods only consider the path length, but the optimal path may deviate from the shortest when considering other environmental factors such as uneven terrain or regions with varying traversal costs. Similarly, in scenarios prioritizing energy efficiency, a sole focus on path length may lead to suboptimal solutions. In this paper, an improved Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) with adaptive weight vector, external archive, and constrained update strategy namely the MOEA/D-EAWA is proposed. This algorithm not only considers the path length but also four additional objectives such as smoothness, traveling time, terrain (elevation), and speed limit (expected delay). In addition, MOEA/D-EAWA is better suited for such many-objective path planning problem which has an irregular, discrete, and sparse Pareto front. The simulation results from 90 map instances demonstrate that the proposed method outperforms the existing approaches. © 2024 IEEE.

关键词： Robot programming

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Implementation of Multi-process Automatic Loading and Unloading Production system

Implementation of Multi-process Automatic Loading and Unload...

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2023 International Conference on Consumer electronics - Taiwan, ICCE-Taiwan 2023

作者： Tung, Li-Chiuan Chen, Shu-Hung Ye, Yu-Cheng Liu, Guan-Zhi Chen, Lin-Yin Tu, Yu-Rou Lai, Yen-Wen Lee, Jeng-Dao National Formosa University Department of Automation Engineering Yunlin Taiwan Ming Chuan University Department of Electronic Engineering Taoyuan City Taiwan National Yunlin University of Science and Technology Doctoral Program in Industrial Engineering and Management Yunlin Taiwan

ISBN: (纸本)9798350324174

This research develops an intelligent automatic production loading and unloading solution for a multi-process part. According to the posture required for each processing operation of each part, a novel gripper and carrier that can implement multi-position clamping are designed. The Beckhoff controller is adopted as the host controller in the control system to integrate the robotic arm (including the vision system), the automated guided vehicle (AGV), and the computer numerical control (CNC) machine. The main topic of this research is to meet the requirements of automatic loading and unloading in the processing of the entire production line. It will significantly reduce the workforce consumption of the processing production line and avoid human error, thereby improving processing reproducibility and product production stability. © 2023 IEEE.

关键词： Controllers

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A 0.89 to 2.1 GHz Tunable Power Amplifier for Multi-band Transmitter 12

A 0.89 to 2.1 GHz Tunable Power Amplifier for Multi-band Tra...

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12th International Conference on Power Science and engineering, ICPSE 2023

作者： Sapawi, R. Kipli, K. Julai, N. Hong Ping, K. Zainol Murad, S.A. Awg Salleh, D.N.S. Universiti Malaysia Sarawak Department of Electrical and Electronics Engineering Sarawak Kota Samarahan Malaysia Universiti Malaysia Center of Excellent for Micro System Technology Faculty of Electronic Engineering & Technology Perlis Arau Malaysia

ISBN: (纸本)9798350342383

This paper presents a multi-band power amplifier by using Benzocyclobutene inductor and tunable barium strontium titanate capacitor to achieve high quality (Q) factor to improve narrow bandwidth in tunable of power amplifier. The proposed power amplifier employed two stages with resistive shunt feedback at the input stage to provide a broadband gain and steady wideband input matching. Tunable frequency range from 0.89 GHz to 2.1 GHz is conducted by tunable BST capacitor from 1 pF to 20 pF. The tunable power amplifier achieves high power gain, good input and output matching, low power consumption and good power added efficiency over all frequency range of interest. It can be concluded that the proposed multi-band power amplifier is quite promising for future mobile terminals application. © 2023 IEEE.

关键词： Power amplifiers

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Research on Machine Learning and Signal Processing of IQ Signals 16

Research on Machine Learning and Signal Processing of IQ Sig...

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16th IEEE International Conference on electronic Measurement and Instruments, ICEMI 2023

作者： Yu, Xiaoyu Zeng, Hao Tian, Yu Guo, Lianping Ye, Peng Wang, Meng Liu, Chunming School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Shenzhen Institute for Advanced Study UESTC Shenzhen China School of Automation Engineering UESTC Chengdu China CO. Ltd Department of Research and Development Dongguan China University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350327144

IQ signals are a core technology of the zero-IF architecture in modern communication technology, but they are often unstable due to factors such as amplitude and phase imbalances. Utilizing the characteristics of IQ two-way signals, common IQ signal calibration algorithms use compensation, frequency domain calibration, etc. This article uses the characteristics of Machine Learning and Signal Processing to train the existing IQ signals and predict the signals based on the training set. Through simulation experiments and actual data measurement, it can be known that different prediction models will have different correction effects. Among them, the Neural Networks model, which is mainly adopted in this article, has a relatively ideal effect on signal processing and prediction, and can also significantly make the signal smoother. © 2023 IEEE.

关键词： Machine learning

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Vacancy-modified bimetallic FeMoS_(x)/CoNiP_(x) heterostructure array for efficient seawater splitting and Zn-air battery

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Journal of Energy Chemistry 2023年第6期81卷 533-542,I0012页

作者： Ansheng Wang Shan Gao Jiaguo Yan Chunning Zhao Meng Yu Weichao Wang Integrated Circuits and Smart System Lab(Shenzhen) Renewable Energy Conversion and Storage CenterTianjin Key Laboratory of Photo-Electronic Thin Film Device and TechnologyCollege of Electronic Information and Optical EngineeringNankai UniversityTianjin 300071China Department of Physical Science and Technology Ningbo UniversityNingbo 315211ZhejiangChina Division of Oilfield Chemicals China Oilfield Services LimitedTianjin 300452China

The development of highly efficient OER catalysts with superior durability for seawater electrolysis and Zn-air battery is important but ***,the vacancy-modified heterostructured bimetallic Fe Mo S_(x)/Co Ni P_(x)OER electrocatalyst is *** from the electron redistribution and reaction kinetics modulation resulting from vacancy introduction and heterojunction formation,it yields ultralow OER overpotentials of 196,276,303 m V in 1 M KOH and 197,318,348 m V in 1 M KOH+seawater at 10,500,1000 m A cm^(-2),respectively,surviving 600 h at 800 m A cm^(-2)without obvious ***,FeMoS_(x)/CoNiP_(x)-based Zn-air battery not only affords the high peak power density of 214.5 m W cm^(-2)but also exhibits the small voltage gap of 0.698 V and long lifetime of 500 h at 10 m A cm^(-2),overmatching overwhelming majority of reported advanced *** is revealed experimentally that the OER process on rationally designed Fe Mo S_(x)/Co Ni P_(x)follows the adsorbate evolution mechanism and the ratedetermining step shifts from^(*)OOH formation in individual building blocks to^(*)OOH deprotonation process in FeMoS_(x)/CoNiP_(x),providing the directly proof of how the vacancy introduction and heterojunction formation affect the reaction kinetics.

关键词： Vacancy Heterojunction Oxygen evolution reaction Seawater splitting Zn-air battery

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Electrical Properties of CrSi Thin Film Resistors for High Precision Analog Circuits 10

Electrical Properties of CrSi Thin Film Resistors for High P...

引用

10th International Symposium on Next Generation electronics, ISNE 2022

作者： Zhu, Jiajia Zhang, Zhili He, Nailong Zhang, Sen Gu, Lihui Zhang, Long CSMC Technologies Corporation Technology Development Department Wuxi China Southeast University The National Asic System Engineering Research Center School of Electronic Science and Engineering Nanjing China

ISBN: (纸本)9781665455251

CrSi thin films are deposited on SiO2 by reactive magnetron sputtering in a mixed atmosphere of argon and nitrogen, where nitrogen is the reactive gas, following by annealing in nitrogen and hydrogen at different temperatures. The effects of sputtering atmosphere (nitrogen flow rate) and annealing temperature on film structural and electrical properties of these films are investigated. It's found that nitrogen doping inhibits grains growth to a certain extent and the effects of nitrogen doping amount on the square resistance of annealed films are different. TCR (temperature coefficient of resistance), by adjusting the sputtering atmosphere and annealing temperature, can be effectively controlled within the original 10% range, that is, optimized from about ±20 ppm/ ? to ±2 ppm/ ?, indicating that resistors possess more excellent stability performance. This work probes the impact trend of key process parameters on square resistance and TCR in detail, which have important reference value for the development of high-precision resistors technology. © 2023 IEEE.

关键词： Silica

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Development of Human Motion Capture system Based on Multiple Inertial Sensor Units 14

Development of Human Motion Capture System Based on Multiple...

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14th IEEE International Conference on Cyber technology in automation, Control, and Intelligent systems, CYBER 2024

作者： Fei, Fei Yang, Ruonan Li, Jiankun Cao, Qingqing Zhang, Qianru Wu, Changcheng College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Hong Kong School of Aviation Engineering Nanjing Vocational University of Industry Technology Nanjing China

ISBN: (纸本)9798331506056

With the development of technology, inertial sensor-based motion capture systems are being widely used, and there is an increasing demand for their accuracy and practicality. This paper presents a three-dimensional human body pose capture system based on inertial sensor units, which can effectively reproduce human motion postures. Firstly, the data obtained from the inertial sensor units are preprocessed. Moreover, an attitude estimation algorithm based on complementary filtering is developed. A program is developed in MATLAB to perform calibration, conversion, and attitude estimation on the acquired data. The results obtained by comparing with actual attitude angles indicate a high accuracy of the experimental calculations. Subsequently, a program is implemented to generate BVH files and an OpenGL-based human model is also rendered. Finally, the movement postures of the human body can be accurately reproduced through the data stored in BVH file to drive the model. © 2024 IEEE.

关键词： MATLAB

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