云南高校图书馆联盟文献共享服务平台- Journal of Dynamics, Monitoring and Diagnostics

《Journal of Dynamics, Monitoring and Diagnostics》: 作品数：79被引量：39H指数：3; 导出分析报告; 主办单位：重庆建筑科技职业学院;重庆理工大学; 最新期次：2024年4期更多>>; 发文主题：FAULT_DIAGNOSISBASED_ONVIBRATIONNEURAL_NETWORKNETWORK更多>>; 发文领域：机械工程自动化与计算机技术理学电气工程更多>>; 发文基金：国家自然科学基金中国博士后科学基金更多>>

Federated Learning for Weld Quality Prediction: 《Journal of Dynamics, Monitoring and Diagnostics》2024年第4期237-245,共9页Shubhranil Chakraborty Sayani Guha Debasish Mishra Surjya K.Pal; This study introduces a monitoring system that can accurately predict the quality of friction stir welds.The study involved four different sets of welding experiments using varying materials and tool configurations.Th...; 关键词：deep learning federated learning friction stir welding Industry 4.0 MANUFACTURING neural network QUALITY

Industrial Battery State-of-Health Estimation with Incomplete Limited Data Toward Second-Life Applications: 《Journal of Dynamics, Monitoring and Diagnostics》2024年第4期246-257,共12页Shaojie Yang Long Ling Xiang Li Jintong Han Shijie Tong; Battery state-of-health(SOH)estimation is vital across applications ranging from portable electronics to electric vehicles,particularly in second-life applications where accurate prediction becomes complex due to vary...; 关键词：battery degradation deep learning lithium-ion battery(LIB) second life SOH estimation

SGG-DGCN:Wind Turbine Anomaly Identification by Using Deep Graph Convolutional Networks with Similarity Graph Generation Strategy: 《Journal of Dynamics, Monitoring and Diagnostics》2024年第4期258-267,共10页Xiaomin Wang Di Zhou Xiao Zhuang Jian Ge and Jiawei Xiang; supported by National Natural Science Foundation of China(Nos.U52305124,U62201399);the Zhejiang Natural Science Foundation of China(Nos.LQ23E050002);the Basic Scientific Research Project of Wenzhou City(Nos.G2022008,G2023028);the General Scientific Research Project of Educational Department of Zhejiang Province(Nos.Y202249008,Y202249041);China Postdoctoral Science Foundation(Nos.2023M740988);Zhejiang Provincial Postdoctoral Science Foundation(Nos.ZJ2023122);the Master’s Innovation Foundation of Wenzhou University(Nos.3162024004106).; In order to minimize wind turbine failures,fault diagnosis of wind turbines is becoming increasinglyimportant,deep learning methods excel at multivariate monitoring and data modeling,but they are often limited toEucli...; 关键词：anomaly identification deep graph convolutional networks similarity graph generation wind turbine

A Multiscale Feature Extraction and Fusion Method for Diagnosing Bearing Faults: 《Journal of Dynamics, Monitoring and Diagnostics》2024年第4期268-278,共11页Zhixiang Chen Hang Wang Yuanyuan Zhou Yang Yang Yongbin Liu; supported in part by the Key Basic Research Project MKF20210008.; Bearing fault diagnosis is vital to safeguard the heath of rotating machinery.It can help to avoid economic losses and safe accidents in time.Effective feature extraction is the premise of diagnosing bearing faults.Ho...; 关键词：effective feature extraction fault diagnosis feature fusion multiscale improved envelope spectrum entropy(MIESE) rolling bearing

Diagnosis of Different Degree of Blockage Levels in the Centrifugal Pump Employing Vibration,Pressure and Current Data through Artificial Neural Network: 《Journal of Dynamics, Monitoring and Diagnostics》2024年第4期279-296,共18页Shivam Gautam Rajiv Tiwari D.J.Bordoloi; The appearance of flow instabilities like the blockage severity,impeller cut flaws,pitted cover plate flaws can cause to diminish the efficiency of centrifugal pump(CP),and may result in excessive vibration and noise,...; 关键词：centrifugal pumps BLOCKAGE sensors machine learning artificial neural network

Non-Smooth Self-Excited Vibration of a Novel Dynamical Model for a Disc Brake: 《Journal of Dynamics, Monitoring and Diagnostics》2024年第4期297-310,共14页Ningyu Liu Huajiang Ouyang Yiqiang Fu Wei-Hsin Liao; supported by the Hong Kong Innovation and Technology Commission(Project No.MRP/030/21 under PiH/026/23);The Chinese University of Hong Kong(Project ID:3134167);the Research Grants Council(Project No.CUHK14211823)of Hong Kong Special Administrative Region,China.; This paper proposes a new dynamic model for the study of friction-induced self-excited vibration of a disc brake system,where the pad’s motions in both radial and circumferential/tangential directions are included,wh...; 关键词：friction-induced vibration linear stability analysis NON-SMOOTH shooting method transient dynamic analysis

Domain Generalization Prognosis Method for Lithium-Ion Battery State of Health with Transformer and Multi-Kernel MMD: 《Journal of Dynamics, Monitoring and Diagnostics》2024年第4期311-323,共13页Yafei Zhu Tianyi Guo Xiang Li Yewei Zhang Wei Zhang; In recent years,a number of intelligent algorithm have been proposed for forecasting the lithium-ion battery state of health(SOH).Due to the varying specifications and operating conditions of batteries,it is difficult...; 关键词：battery health management domain generation maximum mean discrepancy state of health prognosis TRANSFORMER

Special Issue on Measurement Systems,Sensors and Energy Harvesting: 《Journal of Dynamics, Monitoring and Diagnostics》2024年第3期178-179,共2页Wenbin Huang Alex Weddell Yuyong Xiong and Wei Wang; 1.INTRODUCTION AND SCOPE,The increasing demand for efficient,reliable,and sustainable monitoring systems has driven research in the areas of measurement systems,sensors and energy harvesting.New sensors enable real-ti...; 关键词：devoted MONITORING EDITORIAL

MAPOD Analysis in Eddy Current Testing of Flaws Considering Multiple Response Signals and Multiple Flaw Parameters: 《Journal of Dynamics, Monitoring and Diagnostics》2024年第3期180-189,共10页Shixi Yang Liping Zhang Xiwen Gu Weidi Huang; supported by the Key Research and Development Project of Zhejiang Province(Grant No.2023C01248,2023C01069)and the National Natural Science Foundation of China(Grant No.52375135,52305137).; The reliability of the eddy current testing (ECT) in flaw detection is quantitatively evaluated by theprobability of detection (POD). Precise and efficient modeling of POD gives direction for the implement of ECTon si...; 关键词：Eddy current testing finite element model multiple response signals probability of detection

Development of Long-Range,Low-Powered and Smart IoT Device for Detecting Illegal Logging in Forests: 《Journal of Dynamics, Monitoring and Diagnostics》2024年第3期190-198,共9页Samuel Ayankoso Zuolu Wang Dawei Shi Wenxian Yang Allan Vikiru Solomon Kamau Henry Muchiri Fengshou Gu; funded by Climate Change AI(2023 innovation grant-https://www.climatechange.ai/innovation_grants).; Forests promote the conservation of biodiversity and also play a crucial role in safeguarding theenvironment against erosion,landslides,and climate change.However,illegal logging remains a significant threatworldwide,...; 关键词：illegal logging forest monitoring internet of things NODES TinyML sound classification

《Journal of Dynamics, Monitoring and Diagnostics》