Journal of Dynamics, Monitoring and Diagnostics最新文献

Federated Learning for Weld Quality Prediction 焊接质量预测的联合学习

Journal of Dynamics, Monitoring and Diagnostics Pub Date : 2024-07-09 DOI: 10.37965/jdmd.2024.529

Shubhranil Chakraborty, Sayani Guha, D. Mishra, S. K. Pal

{"title":"Federated Learning for Weld Quality Prediction","authors":"Shubhranil Chakraborty, Sayani Guha, D. Mishra, S. K. Pal","doi":"10.37965/jdmd.2024.529","DOIUrl":"https://doi.org/10.37965/jdmd.2024.529","url":null,"abstract":"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. The goal was to create a universal monitoring system capable of predicting weld quality across these diverse experimental sets. Real-time welding data was collected using instruments such as load cells and a power sensor. Signal processing methods were then used to analyze this data and extract essential information about welding quality. Subsequently, Federated Learning (FL) was used to develop the universal monitoring system. This method involves collective learning and model training, leading to a global model trained on decentralized data from the different experimental sets. The approach proved to be effective in forecasting weld quality, achieving a mean absolute error (MAE) of 10.44 for all welding experiments. Additionally, it offered benefits such as reduced latency and enhanced user data protection, while maintaining the accuracy of the global model. An artificial neural network (ANN) model was also developed for comparison with FL, achieving a MAE of 13.85 for the welding experiments. Overall, this study demonstrates the effectiveness of training global and more reliable models, with multiple devices sharing their knowledgebases to train the global model effectively.\u0000 \u0000Conflict of Interest Statement\u0000The authors declare no conflicts of interest.","PeriodicalId":136221,"journal":{"name":"Journal of Dynamics, Monitoring and Diagnostics","volume":"111 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141665721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time-varying mesh stiffness calculation and dynamic modeling of spiral bevel gear with spalling defects 具有剥落缺陷的螺旋锥齿轮的时变啮合刚度计算和动态建模

Journal of Dynamics, Monitoring and Diagnostics Pub Date : 2024-06-06 DOI: 10.37965/jdmd.2024.527

Keyuan Li, Baijie Qiao, Heng Fang, Xiuyue Yang, X. Chen

{"title":"Time-varying mesh stiffness calculation and dynamic modeling of spiral bevel gear with spalling defects","authors":"Keyuan Li, Baijie Qiao, Heng Fang, Xiuyue Yang, X. Chen","doi":"10.37965/jdmd.2024.527","DOIUrl":"https://doi.org/10.37965/jdmd.2024.527","url":null,"abstract":"Time-varying mesh stiffness (TVMS) is a vital internal excitation source for the spiral bevel gear (SBG) transmission system. Spalling defect often causes decrease in gear mesh stiffness and changes the dynamic characteristics of the gear system, which further increases noise and vibration. This paper aims to calculate the TVMS and establish dynamic model of SBG with spalling defect. In this study, a novel analytical model based on slice method is proposed to calculate the TVMS of SBG considering spalling defect. Subsequently, the influence of spalling defect on the TVMS is studied through a numerical simulation, and the proposed analytical model is verified by a finite element model. Besides, an 8-DOF dynamic model is established for SBG transmission system. Incorporating the spalling defect into TVMS, the dynamic responses of spalled SBG are analysed. The numerical results indicate that spalling defect would cause periodic impact in time domain. Finally, an experiment is designed to verify the proposed dynamic model. The experimental results show that the spalling defect makes the response characterized by periodic impact with the rotating frequency of spalled pinion. \u0000 \u0000Conflict of Interest Statement\u0000The authors declare no conflicts of interest.","PeriodicalId":136221,"journal":{"name":"Journal of Dynamics, Monitoring and Diagnostics","volume":"31 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities 用于诊断和健康管理的迁移学习：进步、挑战和机遇

Journal of Dynamics, Monitoring and Diagnostics Pub Date : 2024-05-14 DOI: 10.37965/jdmd.2024.530

Ruqiang Yan, Weihua Li, Siliang Lu, Min Xia, Zhuyun Chen, Zheng Zhou, Yasong Li, Jingfeng Lu

引用次数: 0

Dynamical Modeling and Dynamic Characteristics Analysis of a Coaxial Dual-Rotor System 同轴双转子系统的动力学建模和动态特性分析

Journal of Dynamics, Monitoring and Diagnostics Pub Date : 2024-05-11 DOI: 10.37965/jdmd.2024.524

Yubin Yue, Hongjun Wang, Shenglun Zhang

{"title":"Dynamical Modeling and Dynamic Characteristics Analysis of a Coaxial Dual-Rotor System","authors":"Yubin Yue, Hongjun Wang, Shenglun Zhang","doi":"10.37965/jdmd.2024.524","DOIUrl":"https://doi.org/10.37965/jdmd.2024.524","url":null,"abstract":"The dual-rotor structure is the primary excitation source of aero-engine vibration. It is essential to study the dynamical model and analyse the dynamic characteristics such as critical speed and the unbalanced response for rotor system dynamics. The coaxial dual-rotor support scheme of an aero-engine was introduced in the previous work, and the physical model with a high-speed flexible inner rotor of a sizeable length-diameter ratio has been designed. Then a finite element dynamic model based on the Timoshenko beam elements and rigid body kinematics of the dual-rotor system is modelled, with the Newmark-β method and Newton-Raphson method used for the numerical calculation to study the dynamic characteristics of the system. Three different simulation models, including beam-based FE (1D finite element) model, solid-based FE (3D finite element) model, and TM (transfer matrix) model, were designed to study the characteristics of mode and the critical speed characteristic of the dual-rotor system. The unbalanced response of the dual-rotor system was analysed to study the influence of mass unbalance on the rotor system. The effect of different disc unbalance phases and different speed ratios on the dynamic characteristics of the dual-rotor system were investigated in detail. The experimental result shows that the beam-based FE model is effective and suitable for studying the dual-rotor system.\u0000 \u0000Conflict of Interest Statement\u0000The authors declare no conflicts of interest.","PeriodicalId":136221,"journal":{"name":"Journal of Dynamics, Monitoring and Diagnostics","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamics and Fault Diagnosis of Railway Vehicle Gearboxes: A Review 铁路车辆齿轮箱的动力学和故障诊断：综述

Journal of Dynamics, Monitoring and Diagnostics Pub Date : 2024-04-03 DOI: 10.37965/jdmd.2024.518

Liang Zhao, Yuejian Chen

{"title":"Dynamics and Fault Diagnosis of Railway Vehicle Gearboxes: A Review","authors":"Liang Zhao, Yuejian Chen","doi":"10.37965/jdmd.2024.518","DOIUrl":"https://doi.org/10.37965/jdmd.2024.518","url":null,"abstract":"The railway vehicle gearbox is an important part of the railway vehicle traction transmission system which ensures the smooth running of railway vehicles. However, as the running speed of railway vehicles continues to increase, the railway vehicle gearbox is exposed to a more demanding operating environment. Under both internal and external excitations, the gearbox is prone to faults such as fatigue cracks, broken teeth, etc. It is crucial to detect these faults before they result in severe failures and accidents. Therefore, understanding the dynamics and fault diagnosis of railway vehicle gearbox is needed. At present, there is a lack of systematic review of railway vehicle gearbox dynamics and fault diagnosis. So, this paper systematically summarizes the research progress on railway vehicle gearbox dynamics and fault diagnosis. To this end, this paper first summarizes the latest research progress on the dynamics of railway vehicle gearboxes. The dynamics and vibration characteristics of the gearbox are summarized under internal and external excitations, as well as faulty conditions. Then, the state-of-the-art signal processing and artificial intelligence methods for fault diagnosis of railway vehicle gearboxes are reviewed. In the end, future research prospects are given.\u0000 \u0000Conflict of Interest Statement\u0000The authors declare no conflicts of interest.","PeriodicalId":136221,"journal":{"name":"Journal of Dynamics, Monitoring and Diagnostics","volume":"473 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140749844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comprehensive 3-Steps Methodology for Vibration-based Fault Detection, Diagnosis and Localization in Rotating Machines 基于振动的旋转机械故障检测、诊断和定位的综合三步法

Journal of Dynamics, Monitoring and Diagnostics Pub Date : 2024-03-25 DOI: 10.37965/jdmd.2024.484

Khalid M. Almutairi, Jyoti K. Sinha

{"title":"A Comprehensive 3-Steps Methodology for Vibration-based Fault Detection, Diagnosis and Localization in Rotating Machines","authors":"Khalid M. Almutairi, Jyoti K. Sinha","doi":"10.37965/jdmd.2024.484","DOIUrl":"https://doi.org/10.37965/jdmd.2024.484","url":null,"abstract":"In any industry, it is the requirement to know whether the machine is healthy or not to operate machine further. If the machine is not healthy then what is the fault in the machine and then finally its location. The paper is proposing a 3-steps methodology for the machine fault diagnosis to meet the industrial requirements to aid the maintenance activity. The Step-1 identifies whether machine is healthy or faulty, then Step-2 detect the type of defect and finally its location in Step-3. This method is extended further from the earlier study on the 2-Steps method for the rotor defects only to the 3-Steps methodology to both rotor and bearing defects. The method uses the optimised vibration parameters and a simple Artificial Neural Network (ANN)-based Machine Learning (ML) model from the earlier studies. The model is initially developed, tested and validated on an experimental rotating rig operating at a speed above 1st critical speed. The proposed method and model are then further validated at 2 different operating speeds, one below 1st critical speed and other above 2nd critical speeds. The machine dynamics are expected to be significantly different at these speeds. This highlights the robustness of the proposed 3-Steps method.\u0000 \u0000Conflict of Interest Statement\u0000The authors declare no conflicts of interest.","PeriodicalId":136221,"journal":{"name":"Journal of Dynamics, Monitoring and Diagnostics","volume":" 1104","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140382636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Two-step Inverse Method for Quantitative Damage Evaluation of Plate-like Structures Using Vibration Approach 使用振动方法对板状结构进行定量损伤评估的两步逆方法

Journal of Dynamics, Monitoring and Diagnostics Pub Date : 2024-03-20 DOI: 10.37965/jdmd.2024.512

Shuai He, Jiaxin Li, Xuejing Wu, Chunhui Wang, T. Lin

{"title":"A Two-step Inverse Method for Quantitative Damage Evaluation of Plate-like Structures Using Vibration Approach","authors":"Shuai He, Jiaxin Li, Xuejing Wu, Chunhui Wang, T. Lin","doi":"10.37965/jdmd.2024.512","DOIUrl":"https://doi.org/10.37965/jdmd.2024.512","url":null,"abstract":"This study presents a novel two-step approach to assess plate-like structural laminar damages, particularly for delamination damage detection of composite structures. Firstly, a 2-D continuous wavelet transform is employed to identify the damage location and sizes from vibration curvature data. An inverse method is subsequently then used to determine the bending stiffness reduction ratio along a specified direction, enabling the quantification of the delamination severity. The method employed in this study is an extension from the one-dimensional inverse method developed in a previous work of the authors. The applicability of the two-step inverse approach is demonstrated in a simulation analysis and by an experimental study on a cantilever composite plate containing a single delamination. The inverse method is shown to have the capacity to reveal the detailed damage information of delamination within a constrained searching space and can be used to determine the effective flexural stiffness of composite plate structures, even in cases of complex delamination damage.\u0000Conflict of Interest Statement\u0000The authors declare no conflicts of interest.","PeriodicalId":136221,"journal":{"name":"Journal of Dynamics, Monitoring and Diagnostics","volume":"3 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140227628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the Limits of a Deflection-Based Method for the Estimation of Dynamic Stress in Beams 探索基于挠度的梁动态应力估算方法的局限性

Journal of Dynamics, Monitoring and Diagnostics Pub Date : 2024-03-06 DOI: 10.37965/jdmd.2024.501

Archie Keys, J. Cheer

引用次数: 0

Statistical Models for Condition Monitoring and State of Health Estimation of Lithium-Ion Batteries for Ships 用于船舶锂离子电池状态监测和健康状况估计的统计模型

Journal of Dynamics, Monitoring and Diagnostics Pub Date : 2024-02-29 DOI: 10.37965/jdmd.2024.500

E. Vanem, Qin Liang, M. Bruch, Gjermund Bøthun, Katrine Bruvik, Kristian Thorbjørnsen, Azzeddine Bakdi

{"title":"Statistical Models for Condition Monitoring and State of Health Estimation of Lithium-Ion Batteries for Ships","authors":"E. Vanem, Qin Liang, M. Bruch, Gjermund Bøthun, Katrine Bruvik, Kristian Thorbjørnsen, Azzeddine Bakdi","doi":"10.37965/jdmd.2024.500","DOIUrl":"https://doi.org/10.37965/jdmd.2024.500","url":null,"abstract":"Battery systems are increasingly being used for powering ocean going ships, and the number of fully electric or hybrid ships relying on battery power for propulsion is growing. To ensure the safety of such ships, it is important to monitor the available energy that can be stored in the batteries, and classification societies typically require the state of health (SOH) to be verified by independent tests. This paper addresses statistical modelling of SOH for maritime lithium-ion batteries based on operational sensor data. Various methods for sensor-based, data-driven degradation monitoring will be presented, and advantages and challenges with the different approaches will be discussed. The different approaches include cumulative degradation models and snapshot models, models that need to be trained and models that need no prior training, and pure data-driven models and physics-informed models. Some of the methods only rely on measured data, such as current, voltage and temperature, whereas others rely on derived quantities such as state of charge (SOC). Models include simple statistical models and more complicated machine learning techniques. Insight from this exploration will be important in establishing a framework for data-driven diagnostics and prognostics of maritime battery systems within the scope of classification societies.\u0000 \u0000Conflict of Interest Statement\u0000The authors declare no conflicts of interest.","PeriodicalId":136221,"journal":{"name":"Journal of Dynamics, Monitoring and Diagnostics","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140414595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fault Diagnosis of Linear Guide Rails Based on SSTG Combined with CA-DenseNet 基于 SSTG 和 CA-DenseNet 的直线导轨故障诊断

Journal of Dynamics, Monitoring and Diagnostics Pub Date : 2024-02-19 DOI: 10.37965/jdmd.2024.508

Yanping Wu, Juncai Song, Xianhong Wu, Xiaoxian Wang, Siliang Lu

引用次数: 0