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Defect Detection Model Using Time Series Data Augmentation and Transformation

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Computers, Materials & Continua 2024年第2期78卷 1713-1730页

作者： Gyu-Il Kim Hyun Yoo han-Jin Cho Kyungyong chung Department of Computer Science Kyonggi UniversitySuwon-si16227Korea Contents Convergence Software Research Institue Kyonggi UniversitySuwon-si16227Korea Department of Energy IT Engineering Far East UniversityEumsung-gun27601Korea Division of AI Computer Science and Engineering Kyonggi UniversitySuwon-si16227Korea

Time-series data provide important information in many fields,and their processing and analysis have been the focus of much ***,detecting anomalies is very difficult due to data imbalance,temporal dependence,and ***,methodologies for data augmentation and conversion of time series data into images for analysis have been *** paper proposes a fault detection model that uses time series data augmentation and transformation to address the problems of data imbalance,temporal dependence,and robustness to *** method of data augmentation is set as the addition of *** involves adding Gaussian noise,with the noise level set to 0.002,to maximize the generalization performance of the *** addition,we use the Markov Transition Field(MTF)method to effectively visualize the dynamic transitions of the data while converting the time series data into *** enables the identification of patterns in time series data and assists in capturing the sequential dependencies of the *** anomaly detection,the PatchCore model is applied to show excellent performance,and the detected anomaly areas are represented as heat *** allows for the detection of anomalies,and by applying an anomaly map to the original image,it is possible to capture the areas where anomalies *** performance evaluation shows that both F1-score and Accuracy are high when time series data is converted to ***,when processed as images rather than as time series data,there was a significant reduction in both the size of the data and the training *** proposed method can provide an important springboard for research in the field of anomaly detection using time series ***,it helps solve problems such as analyzing complex patterns in data lightweight.

关键词： Defect detection time series deep learning data augmentation data transformation

Challenges and opportunities for battery health estimation:Bridging laboratory research and real-world applications

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Journal of Energy Chemistry 2024年第2期89卷 434-436,I0011页

作者： Te han Jinpeng Tian C.Y.chung Yi-Ming Wei Center for Energy and Environmental Policy Research Beijing Institute of TechnologyBeijing 100081China School of Management and Economics Beijing Institute of TechnologyBeijing 100081China Department of Electrical and Electronic Engineering and Research Centre for Grid Modernization The Hong Kong Polytechnic UniversityKowloon 999077Hong KongChina

Addressing climate change demands a significant shift away from fossil fuels,with sectors like electricity and transportation relying heavily on renewable *** to this transition are energy storage systems,notably lithium-ion *** time,these batteries degrade,affecting their efficiency and posing safety *** and predicting battery aging is essential,especially estimating its state of health(SOH).Various SOH estimation methods exist,from traditional model-based approaches to machine learning approaches.

关键词： Energy storage systems State of health Multi-source data Scientific AI Data-sharing mechanism

Numerical assessment on improving multistage centrifugal impeller performance by changing inlet skew angle at impeller inlet

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Journal of Central South University 2012年第4期19卷 953-961页

作者： M.N.Labib Woo Ju-sik Choi Du-youl T.Utomo B.Fajar chung han-shik Jeong Hyo-min Graduate School of Department of Mechanical and Precision Engineering Gyeongsang National UniversityTongyeong 650-160Korea Fluid and Thermal Engineering Co.Ltd. Kyungnam 621-843Korea Department of Mechanical Engineering Engineering FacultyUniversity of DiponegoroSemarang 1269Indonesia Department of Mechanical and Precision Engineering Gyeongsang National UniversityThe Institute of Marine Industr yTongyeong 650-160Korea Department of Mechanical and Precision Engineering Gyeongsang National UniversityThe Institute of Marine Industr yTongyeong 650-160Kore

Multistage centrifugal impellers with four different skew angles were investigated by using computational fluid *** purpose of this work is to investigate the influences of lean angle at the blade tip of the impeller *** variations of lean angles,that is,8°,10°,15° and 20°,were made at first stage *** Average Navier Stokes equation was used in simulation together with a shear?stress transport(SST) k-w turbulence model and mixing-plane approach,*** dimensional fluid flows were simplified using periodic model to reduce the computational cost and time required.A good performance was expected that the secondary flow can be effectively reduced in the flow passage of the impeller without excessive increase in manufacturing cost caused by the secondary *** results show that secondary flow affects the main flow intricately to form vortices or having non-uniform velocity in the flow passage,which in turn results in substantial fluid energy loss not only in the impeller but also in the guide vane downstream of *** numerical solutions were performed and allowed the optimum design and operating conditions to be obtained.

关键词：离心泵叶轮倾斜角度数值评估多级计算流体动力学 Stokes方程入口性能

Characterizing pressure fluctuation into single-loop oscillating heat pipe

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Journal of Central South University 2012年第9期19卷 2578-2583页

作者： PARK Yong-ho Md.Riyad Tanshen Md.J.Nine chung han-shik JEONG Hyo-min Department of Mechanical Engineering Koje CollegeJangseungpoKojeGyeongnamKorea Department of Mechanical and Precision Engineering Gyeongsang National University 445 Inpyeong-dongTongyeongGyeongnam650-160Korea Department of Energy and Mechanical Engineering Institute of Marine IndustryGyeongsang National UniversityCheondaegukchi-Gil 38TongyeongGyeongnam650-160Korea

The pressure characteristics inside single loop oscillating heat pipe(OHP) having 4.5 mm inner diameter copper tube with the loop height of 440 mm were *** water was used as working fluid inside the OHP with different filling ratios of 40%,60% and 80% of total inside *** results show that the thermal characteristics are significantly inter-related with pressure fluctuations as well as pressure *** the pressure frequency also depends upon the evaporator temperature that is maintained in the range of 60?96 °*** absolute pressure sensor(Model-Kistler 4045A5) was used to take *** investigation shows that the filling ratio of 60% gives the highest inside pressure magnitude at maximum number of pressure frequency at any of set evaporator temperature and the lowest heat flow resistance is achieved at 60% filling ratio.

关键词：压力波动振荡热管单回路绝对压力传感器特征填充率压力特性工作流体

Heat transfer characteristics of nanofluid through circular tube

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Journal of Central South University 2013年第1期20卷 142-148页

作者： WUSIMAN Ku-er-ban-jiang chung han-shik MD.J.Nine hanDRY Afrianto EOM Yoon-sub KIM Jun-hyo JEONG Hyo-min Department of Mechanical and Precision Engineering GyeongSang National University445 Inpyeong-dongTongYoungGyeongNam 650-160Korea Department of Energy and Mechanical Engineering The Institute of Marine IndustryGyeongSang National University445 Inpyeong-dongTongYoungGyeongNam 650-160Korea Division of Marine Engineering Mokpo National Maritime UniversityHaeyangdaehang-Ro 91Mokpo-siJeollanam-do530-729Korea

Nano fluid is considered to be a class of high efficient heat transfer fluid created by dispersing some special solid nanoparticles (normally less than 100 nm) in traditional heat transfer fluid. The present experiment was conducted aiming at investigating the forced heat transfer characteristics of aqueous copper (Cu) nanofluid at varying concentration of Cu nano-particles in different flow regimes (300hancement is available both in the laminar and turbulent flow with increasing the concentration. Especially, the enhancement rate increases dramatically in laminar flow regime, for instance, the heat transfer coefficient of Cu/water nanofluid increases by two times at around Re=2 000 compared with that of base fluid water, and averagely increases by 62% at 1% volume fraction. However, the heat transfer coefficient of Cu/water decreases sharply in the transition flow regime. Furthermore, it has the trend that the heat transfer coefficient displays worse with increasing the concentration.

关键词：纳米流体传热特性循环管纳米粒子层流状态传热系数增强功能强制对流

Liquid film falling behaviour on horizontal circular cylinder

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Journal of Central South University 2012年第5期19卷 1353-1358页

作者： chung han-shik K.Wusiman KIM Seong-soo B.Nasan H.Afrianto Hafizur Rehman CHOI Du-youl JEONG Hyo-min Department of Energy and Mechanical Engineering The Institute of Marine IndustryGyeongSang National UniversityTongYoungGyeongNam 650-160Korea Department of Mechanical and Precision Engineering GyeongSang National UniversityTongYoungGyeongNam 650-160Korea Fluid and Thermal Engineering Co. Ltd.GimHae-siGyungNam 621-843Korea

The flow pattern behaviour of falling liquid film over three horizontal cylinders was *** flows can take three forms:discrete droplets,individual jets,and continuous sheet,and special attention is paid to the effects of the physical properties and geometrical parameters of the first two forms(droplets and jets) because these forms are more important in heat-transfer behaviour and less research has been published for these forms,The flow modes and experimental results were successfully compared with previous experimental literatures,and also the effects of liquid flow rate,tube diameter,and tube spacing on departure site spacing,in both drop and jet modes,were evaluated in the low Galileo number and high viscosity fluid(cooking oil),to help developing criteria for determining falling film modes and their transitions,and to understand the heat transfer characteristics associated with each mode.

关键词：行为水平圆柱膜下发展中国家下降液膜几何参数物理性质液体流量

Applying heteroatom co-doped carbon nanotube for manifesting high performance in the electrochemical reduction of aqueous nitrogen oxide by gold nanoparticles

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Nano Research 2024年第3期17卷 1151-1164页

作者： Jane chung Haibo Yin Rong Wang Yunlong Wang Junyang Zhang Yue Peng Joung Woo han Seongyun Ryu Junhua Li State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China EHS Research Center Samsung Electronics Co.Ltd.Gyeonggi-do 18448Republic of Korea

Electrochemical NO-to-NH_(3) under ambient conditions could be a viable alternative having advantages in terms of energy consumption and exhaust gas recycling of NO,replacing a traditional ammonia synthesis method of the Haber–Bosch *** synthesizing boron(B-)and nitrogen(N-)co-doped carbon nanotube(CNT)based gold(Au)catalysts,B-dopants elevate the conductivity of carbon nanotube by sp2 hybridization on graphene and implant B–N domains within the graphene layer,and result in facilitating the embedding amount of Au accompanied by high dispersibility with low particle *** density functional theory(DFT)calculations elucidate that the electron cloud transmitted from B-dopant to the active site of Au induces the Lewis acidic site,and the O-distal pathway occurs following a spontaneous *** of the electron-deficient B-doping area accompanied by N-defects and B–O edges retains the major valence state of Au as Au^(δ+),and suppresses hydrogen evolution reaction(HER)by repulsing the hindrance of H*.This record exhibits the highest faradaic efficiency(FE)of 94.7%,and NH_(3) yield rate of 1877.4μg·h^(-1)·mg_(cat)^(-1),which is the optimal yield over energy consumption in the field of the ambient reduction of aqueous NO.

关键词： boron heteroatom nitrogen defect gold nanoparticles valence states of gold electrochemical NO-to-NH3

A Cu-Pd alloy catalyst with partial phase separation for the electrochemical CO_(2) reduction reaction

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Journal of Energy Chemistry 2024年第6期93卷 8-15,I0001页

作者： Gyeong Ho han Jung Yong Seo Minji Kang Myung-gi Seo Youngheon Choi Soo Young Kim Sang Hyun Ahn School of Chemical Engineering and Material Science Chung-Ang UniversitySeoul 06974Republic of Korea Lotte Chemical Institute of Technology Daejeon 34110Republic of Korea Department of Materials Science and Engineering Korea UniversitySeoul 02841Republic of Korea

Cu catalysts can convert CO_(2) through an electrochemical reduction reaction into a variety of useful carbon-based ***,this capability provides an obstacle to increasing the selectivity for a single ***,we report a simple fabrication method for a Cu-Pd alloy catalyst for use in a membrane electrode assembly(MEA)-based CO_(2) electrolyzer for the electrochemical CO_(2) reduction reaction(ECRR)with high selectivity for CO *** the composition of the Cu-Pd alloy catalyst was fabricated at 6:4,the selectivity for CO increased and the production of multi-carbon compounds and hydrogen is *** a Cu-Pd alloy catalyst with 6:4 ratio as the cathode of the MEAbased CO_(2) electrolyzer showed a CO faradaic efficiency of 92.8%at 2.4 V_(cell).We assumed that these results contributed from the crystal planes on the surface of the Cu-Pd *** phases of the Cu-Pd alloy catalyst were partially separated through annealing to fabricate a catalyst with high selectivity for CO at low voltage and C_(2)H_4 at high *** results of CO-stripping testing confirmed that when Cu partially separates from the lattice of the Cu-Pd alloy,the desorption of~*CO is suppressed,suggesting that C-C coupling reaction is favored.

关键词： Cu-Pd catalyst Electrodeposition Electrochemical carbon dioxide reduction Partial phase separation Membrane electrode assembly-based electrolyzer

Modeling and Adaptive Neural Network Control for a Soft Robotic Arm With Prescribed Motion Constraints

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 501-511页

作者： Yan Yang Jiangtao han Zhijie Liu Zhijia Zhao Keum-shik Hong the School of Intelligence Science and Technology University of Science and Technology BeijingBeijing 10083 the Institute of Artificial Intelligence University of Science and Technology BeijingBeijing 100083China IEEE the School of Mechanical and Electrical Engineering Guangzhou UniversityGuangzhou 510006China the School of Mechanical Engineering Pusan National UniversityBusan 46241South Korea

This paper presents a dynamic model and performance constraint control of a line-driven soft robotic *** dynamics model of the soft robotic arm is established by combining the screw theory and the Cosserat *** unmodeled dynamics of the system are considered,and an adaptive neural network controller is designed using the backstepping method and radial basis function neural *** stability of the closed-loop system and the boundedness of the tracking error are verified using Lyapunov *** simulation results show that our approach is a good solution to the motion constraint problem of the line-driven soft robotic arm.

关键词： Adaptive control cosserat theory prescribed motion constraints soft robotic arm