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14th International Conference on the Properties and Applications of Dielectric Materials, ICPADM 2024

作者： Yamsiri, Thummanoon Bunlaksananusorn, Chanin Suksawat, Dusit Rojanasunan, Warisanan Jeenmuang, Siwakorn Pattanadech, Norasage School of Engineering King Mongkut's Institute of Technology Ladkrabang Department of Electrical Engineering Bangkok Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Department of Mechatronics Engineering Bangkok Thailand

ISBN: (纸本)9798350374605

In this paper the dielectric response in time domain which is polarization and depolarization current (PDC) measurement is applied to assess the global condition of OIP bushings. The bushings in this paper are five 138 kV OIP bushings and three 550 kV OIP bushings which are out of service already. From the PDC results, capacitance and current trends of both voltage levels were investigated individually. PDC results in this paper can be useful data for further analysis and diagnostic. © 2024 IEEE.

关键词： Depolarization

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An Advance Machine Learning Framework for Predicting Machine Breakdown in The Steel Industry

An Advance Machine Learning Framework for Predicting Machine...

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2024 IEEE International Conference on Computing, Applications and Systems, COMPAS 2024

作者： Hossain, Jamil Faisal, S. M. Fahim Lubaba, Rafiatun Ferdous Khan Hassan, Mumit Namey, Atkia Maliha, Mahmuda Haque Chittagong University of Engineering and Technology Department of Mechatronics and Industrial Engineering Chattogram4349 Bangladesh Chittagong University of Engineering and Technology Department of Electronics and Telecommunication Engineering Chattogram4349 Bangladesh Chittagong University of Engineering and Technology Department of Electrical and Electronics Engineering Chattogram4349 Bangladesh

ISBN: (纸本)9798331529765

The steel industry is one of the business sectors in developing countries that is expanding at a rapid rate because of its essential role in building the physical infrastructure of a country. Therefore, managing the supply chain risks of the steel industry is crucial for maintaining disruption free production. Machine breakdown and malfunction in a production line significant ones that take place in the steel industry's supply chain which could negatively impact the supplier-customer relationship. Rolling mill machines are one of the most crucial and often used machines in the steel manufacturing process. In this study, a framework has been developed to predict the machine breakdown of rolling mill machines using several advanced machine learning algorithms such as Catboost, XGboost, and LightGBM. To investigate the effectiveness of proposed approach the 'Binary Classification of Machine Failures' dataset has been used. The suggested work's effectiveness has been assessed thoroughly using proper evaluation matrices. The results indicate that CatBoost and LightGBM algorithms has achieved the best performance among all other algorithms, gaining accuracy of 99% and 97%, respectively. The proposed machine learning framework offers significant potential to enhance supply chain management in the steel industry by continuously updating machine breakdown mitigation strategies. © 2024 IEEE.

关键词： Public relations

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Objective Assessment of Navigation Trajectory in Walking Corsi Test Using Pose Estimation Algorithms 12

Objective Assessment of Navigation Trajectory in Walking Cor...

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12th RSI International Conference on Robotics and mechatronics, ICRoM 2024

作者： Zibandehpoor, Mobina Delrobaei, Mehdi K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Mechatronics Tehran Iran

ISBN: (纸本)9798331529734

This study utilizes pose estimation algorithms to present a novel objective assessment of navigation trajectories in the walking Corsi test, known as a visuospatial working memory assessment task. Spatial navigation is critical in cognitive assessments, especially for detecting impairments in neurodegenerative conditions such as Alzheimer's disease. By leveraging the OpenPose model, this approach tracks specific body keypoints, primarily focusing on the left ankle, to monitor and evaluate participant movement during the walking Corsi test. A Kalman filter was applied to enhance the accuracy of keypoint tracking, refining the model's output by reducing noise and compensating for motion inaccuracies. Data were collected from 35 healthy participants, and the resulting navigation trajectories were subject to perspective correction, keypoint extraction, and noise reduction. The processed trajectories were analyzed using root mean square error, mean absolute error, and R2 metrics to assess model performance at various stages of data processing. These metrics revealed significant improvements in accuracy after implementing pre-processing techniques and the Kalman filter tracker algorithm, with the model achieving a highly accurate R2 value of 0.995. The findings demonstrate the effectiveness of biomechatronic systems in delivering precise spatial navigation and memory assessments. This work holds promise for clinical diagnostics and research applications, providing an innovative, objective tool for assessing cognitive functions, particularly in neurodegenerative diseases. © 2024 IEEE.

关键词： Mean square error

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Energy analysis of solar powered hydrogen production system with CuO/water nanofluids: An experimental investigation

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Journal of King Saud University - engineering Sciences 2023年第8期35卷 525-530页

作者： Senthilraja, S. Gangadevi, R. Köten, Hasan Thangavel, Sivasakthivel Baskaran, M. Awad, Mohamed M. Department of Mechatronics Engineering SRM Institute of Science and Technology Kanchipuram India Department of Mechanical Engineering Faculty of Engineering Istanbul Medeniyet University Goztepe Campus 34700 Uskudar Istanbul Turkey University of West of England P.O Box 2546 CPO Ruwi 112 Muscat Oman Department of Mechatronics Engineering K.S.Rangasamy College of Technology Tiruchengode India Mechanical Power Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt

Electrolysis is the process used to produce hydrogen using external electrical energy. Because of less initial and operating cost, less maintenance required, and simple construction, hydrogen production via water electrolysis has gained more attention among users globally. In this current attempt, a novel solar-powered hydrogen generation system was established and tested in different operating circumstances. Throughout the study, nanofluids with concentrations of 0.05%, 0.1%, and 0.2% were utilized, and their effect on electrical performance and hydrogen production rate was examined. Compared to conventional solar panels, the usage of nanofluids resulted in a significant improvement in electrical power productivity and hydrogen output rate. The highest electrical efficiency is with a 0.2% volume fraction of CuO/water nanofluids at 13.5% at Noon. During the same period, the lowest and highest hydrogen yield rates are found for the conventional PV module and 0.2% volume fraction CuO/water nanofluids-based system as 7.9 ml/min and 18.2 ml/min, respectively. © 2023 The Authors

关键词： Hydrogen production

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Compact High Gain Microstrip Array Antenna Using DGS Structure for 5G Applications

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Progress In Electromagnetics Research C 2023年 130卷 213-225页

作者： Emara, Hesham M. El Dyasti, Sherif K. Ghouz, Hussein H. M. Sree, Mohamed Fathy Abo Fatah, Sara Y. Abdel Department of Electronics and Communications Engineering Arab Academy for Science Technology and Maritime Transport Cairo Egypt Higher Institute of Engineering and Technology El-Tagammoe El-Khames New Cairo Egypt Department of Mechatronics Engineering and Automation Faculty of Engineering Egyptian Chinese University Cairo Egypt

In this paper, a microstrip millimeter-wave (MMW) array antenna with a defected ground structure (DGS) has been presented for the applications of fifth generation (5G) wireless networks. This novel antenna, which has small dimensions with higher gain, can be used for licensed 5G applications in many countries, like the United States of America, Canada, Australia, Japan, India, and China. It also covers a band that is planned for licensed use in some countries, like Colombia and Mexico. The proposed model has a single element design, and for gain and efficiency enhancement, a two-element array has been designed. Both single and two element models resonate at a frequency of 39.96 GHz. Using a commercial electromagnetic simulator (CST-Studio), the model was designed and optimized with the goal of achieving a return loss rate of less than −10 dB. The proposed antenna is built on a compact Rogers substrate (RT-5880) with dimensions of 6 mm × 6 mm for the substrate of the single element and 9 mm × 13 mm for the two-element array. The substrate has a thickness of 0.508 mm, a dielectric constant Εr of 2.2, and a loss tangent tan δ value of 0.0009. This suggested design is small, low profile, and simple to guarantee the dependability, mobility, and high efficiency needed to be used with a variety of 5G wireless applications. The high gain of 11.6 dBi for the two-element array model of the proposed antenna is one of its distinctive features. The suggested single element model has an impedance bandwidth of 2.3 GHz, and 2.1 for the two-element array model, satisfying efficiency of approximately 73.5% for the single element and 85% for the two-element array model, respectively. The proposed structure, compared to other designs found in the literature, has smaller size while maintaining other parameter values of comparable orders. © 2023, Electromagnetics Academy. All rights reserved.

关键词： Defected ground structures

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Numerical Analysis of Seal Force Under Brush Seal Hysteresis Effect 11th

Numerical Analysis of Seal Force Under Brush Seal Hysteresis...

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11th IFToMM International Conference on Rotordynamics, IFToMM 2023

作者： Wei, Yuan Ran, Xuhe Chen, Zhaobo Jiao, Yinghou School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9783031404580

Brush seal has certain advantages over traditional labyrinth seal. As the hysteresis characteristics of the brush seal is a key factor affecting its sealing performance, it is particularly important to conduct in-depth study on the seal force. This paper takes hysteresis as the premise of research, and establishes the model of brush seal force with whole circle bristles under the hysteresis considering the 3D bending of bristles, and set up the dynamic equation of brush seal force for whole circle bristles. This work further studies the influence of system parameters on the brush seal force under the hysteresis, and compares the influence of each system parameter on seal force. And then compared with the model without hysteresis to study the influence degree of hysteresis effect on seal force. The results show that the hysteresis has a great influence on the variation trend of brush seal force, and the seal force is much smaller when the hysteresis effect is taken into account than that not considered. The increase of bristle inclination is beneficial to increase the stability of the rotor system, but for the seal force on the rotor, the greater lay angle is not better. It is of great significance to study the seal force under the lag of brush seal to further understand the sealing characteristics of brush seal. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Seals

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Small Sample Prediction of Wordle Games Based on Optimized Convolutional Neural Networks 3

Small Sample Prediction of Wordle Games Based on Optimized C...

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3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Mo, Xu Wang, Weizhi Yang, Shuaikang Wang, Yunxiang Geng, Yiming School of Mechatronics Engineering Henan University of Science and Technology Henan Luoyang471000 China

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

The Wordle game was very popular after it was launched, attracting many players in the early stage. Under the rules of the game, the different characteristics of words may affect the distribution of scores in the different mode. The purpose of this report is to establish a model to study on the percentage distribution of attempts to submit reports. The innovation of this paper lies in the combination of convolutional neural network (CNN), bidirectional long and short term memory network (BiLSTM) and double attention mechanism (DA), and proposes a DCNN-BiLSTM network structure suitable for small sample prediction. Finally, a good prediction result is obtained. © 2023 SPIE.

关键词： Convolutional neural networks

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DYNAMIC CHARACTERISTICS OF V-SHAPED POCKET BEARING UNDER THERMAL-MECHANICAL COUPLING EFFECT

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UPB Scientific Bulletin, Series D: Mechanical engineering 2024年第1期86卷 47-60页

作者： Huang, Jie Liu, Yanbin Li, Xuying Yang, Kun Ling, Jinbo School of Mechatronics Engineering Henan University of Science and Technology Henan Luoyang471003 China Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province Henan University of Science and Technology Henan Luoyang471003 China

Aiming at the problem of thermal deformation in bearing at high rotation speed, which affects the working accuracy of bearing, the influence of thermal-mechanical coupling on the dynamic characteristics of V-shaped pocket cylindrical roller bearing was studied. The heat transfer theory was used to establish the bearing thermal network model considering the V-shaped pocket, and the temperature of each node and the thermal deformation of each component were obtained. The bearing dynamics model considering thermal-mechanical coupling was established by combining with multi-body dynamics theory. The effect of the operating conditions on the thermal deformation of the V-shaped pocket was analyzed, and the evolution law of cage slip rate and the collision force between the roller and V-shaped pocket under the action of thermal-mechanical coupling was explored. The results indicate that under high rotation speed and light load, the influence of speed and load on the temperature rise and thermal deformation of the V-shaped pocket is relatively small. However, when the rotation speed is in the range of 18000~21000r/min, the cage slip rate decreases with the increase of speed, while when the load is in the range of 100~500N, the cage slip rate increases with the growth of load. In addition, the collision force between the roller and V-shaped pocket under the consideration of thermal deformation increases greatly compared with that without thermal deformation. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Rollers (machine components)

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Research on Size Calibration Algorithm of Dark-field Flaw on Optics Surface Based on Convolutional Neural Network

Research on Size Calibration Algorithm of Dark-field Flaw on...

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2024 Applied Optics and Photonics China: Optical Sensing, Imaging technology, and Applications, AOPC 2024

作者： Wang, Bei Yin, Zhaoyang Zhou, Shicheng Zhao, Linjie Chen, Mingjun Cheng, Jian School of Mechatronics Engineering Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System Harbin Institute of Technology 150001 China

ISBN: (数字)9781510687820

ISBN: (纸本)9781510687813

Optics in high-power solid-state laser devices will be damaged and adhere to contaminates on the surface during manufacturing and operation, which reduces the service life. To facilitate the positioning and recognition of the flaw (damage and contaminates) in the process of automatic repair, the dark-field flaw size calibration algorithm was studied. In this paper, a flaw size calibration model based on convolutional neural network was established. The size, exposure time, and loss function of damage and contaminate were optimized respectively. The training parameter of the damage regression model is determined to be size of less than 500μm, 30ms of exposure time and SmoothL1 loss function, and the parameter of contaminate is 0-100μm, 20ms of exposure and SmoothL1 loss function. After data balancing, the calibration precision was improved. To improve the calibration consistency of the full-size segment, a comprehensive size calibration strategy is proposed. The CNN regression algorithm is used for small size, and the pixel-level calibration algorithm is used for large size. Compared with the single regression calibration algorithm, the relative error and absolute error of the calibration results of small damage ( © 2024 SPIE.

关键词： Solid state lasers

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Degradation stage prediction of rolling bearing based on fuzzy correlation dimension and maximum entropy particle filter

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Hangkong Dongli Xuebao/Journal of Aerospace Power 2025年第6期40卷

作者： Cheng, Li Ma, Wensuo Gao, Zuobin School of Information Engineering Henan University of Science and Technology Henan Luoyang471023 China School of Mechatronics Engineering Henan University of Science and Technology Henan Luoyang471003 China

Considering the problem in calculating the correlation dimension using the hard threshold function that may lead to boundary disturbances, a fuzzy correlation dimension method was proposed and then used to extract the degradation features of rolling bearing. In view of the small sample prediction characteristics for the degradation stage of rolling bearing and the lack of confidence interval estimation for prediction results in traditional particle filtering, the maximum entropy particle filtering method was proposed. The experimental results showed that the fuzzy correlation dimension was consistent with the evolution trend of rolling bearing vibration signals, and can accurately extract the rolling bearing vibration performance degradation feature. Meanwhile, the average relative error of the proposed maximum entropy particle filter was only 1.31%, and the average absolute error was only 6.94, which was significantly lower than traditional particle filters and GM models. The added interval prediction function made the prediction results more diverse. © 2025 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.

关键词： Airships

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