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2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2024

作者： Fu, Song Liu, Yikun Suo, Shiwei Wang, Yue Lin, Lin Zhang, Sihao Zhong, Shisheng School of Mechatronics Engineering Harbin Institute of Technology Harbin150000 China

ISBN: (纸本)9798350388855

The data-driven fault diagnosis method demands a high quantity of data samples, typically necessitating ample samples and labels for effective model training. However, due to the complex operating environment of aircraft engines, it is difficult to collect fault samples. In addition, unpredictable types of faults may occur during operation. A few-shot sample and first occurrence fault diagnosis method based on model-agnostic meta-learning(MAML) is proposed to address the above issues. On the one hand, utilizing MAML to learn generalized fault classification rules enables the model to quickly adapt to tasks with limited sample sizes. On the other hand, by constructing sample pairs for discrimination recognition, the first occurrence fault can be determined. Finally, experiments were conducted on real aircraft engine operation and maintenance datasets to verify the effectiveness of this method. © 2024 IEEE.

关键词： Training aircraft

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Modal analysis of a robotic fish with rotary-to-swing mechanism and flexible tensegrity joints 9

Modal analysis of a robotic fish with rotary-to-swing mechan...

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9th International Symposium on Sensors, mechatronics, and Automation System, ISSMAS 2023

作者： Zhu, Xiaowen Wang, Yihang He, Jingfeng Jiang, Hongzhou Tong, Zhizhong School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9781510672802

In this paper, we represent a robotic fish with rotary-to-swing mechanism and flexible tensegrity joints and its modal analysis method. The modal analysis method comprises two parts: stiffness analysis and derivation of the mass matrix. We simplify the robotic fish into a five-link mechanism which is a serial connection of a closed chain four-link mechanism with tail fin to make its modes analyzable. Based on this, we first analyze the stiffness matrix though the elastic potential energy and then obtain the mass matrix of the simplified mechanism considering hydrodynamic effects. Finally, the first-order modal analysis results in two cases which are both a C-shape at natural frequency are shown. © 2024 SPIE.

关键词： Robotics Matrices Modal analysis Elasticity Biomimetics Mode shapes Oceanography Shape analysis Structural design

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Fully tunable Fabry-Pérot cavity based on MEMS Sagnac loop reflector with ultra-low static power consumption

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Microsystems & Nanoengineering 2024年第4期10卷 355-365页

作者： Young Jae Park Man Jae Her Youngjae Jeong Dong Ju Choi Dong Uk Kim Min Gi Lim Myung Seok Hong Hyug Su Kwon Kyoungsik Yu Sangyoon Han Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Republic of Korea School of Electrical Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Republic of Korea Agency for Defense Development DaejeonRepublic of Korea

The Fabry-Pérot interferometer,a fundamental component in optoelectronic systems,offers interesting applications such as sensors,lasers,and *** this work,we show a tunable Fabry-Pérot cavity consisting of tunable Sagnac loop reflectors(SLRs)and phase shifters based on electrostatic microelectromechanical(MEMS)*** fabrication process of the device is compatible with the standard wafer-level silicon photonics fabrication *** electrostatic actuation mechanism provides well-balanced,scalable pathways for efficient tuning *** extinction ratio of the continuously tunable SLRs’reflectivity is larger than 20 *** 2πphase shifting is achieved,and response times of all the components are less than 25μ*** actuators have extremely low static power,measuring under 20 fW and the energy needed for tuning is both below 20 pJ.

关键词： tunable tuning interferometer

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Generative Adversarial Network based Chest Disease Detection and Binary Mask Generation

Generative Adversarial Network based Chest Disease Detection...

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2023 International Conference on Robotics and Automation in Industry, ICRAI 2023

作者： Junaid, Muhammad Asad Anwar, Shahzad Sikander, Gulbadan Khan, Muhammad Tahir University of Engineering and Technology Department of Mechatronics Engineering Peshawar Pakistan

ISBN: (纸本)9781665464727

The infectious disease tuberculosis (TB) continues to pose a serious risk to global health specially in developing world. There are over 10 million new cases of tuberculosis each year. Machine and deep learning models are trained to recognize specific pixels inside a medical image for the purposes of classification and disease progression tracking, however the decision-making mechanism of these models is hidden from the user. In this context, Explainable artificial intelligence (XAI) refers to strategies that allow humans to understand the results of AI algorithms. Recently, a variety of XAI methods for classification and generative have been proposed;however, these methods only use a subset of most discriminative power characteristics, resulting in false positives. This article proposes CycleGAN-based multi-functional generative adversarial networks to efficiently solve these challenges. Proposed model is trained in weakly supervised context to identify and visualize the disease effects and finally generate binary mask in data augmentation context. The model takes a Chest radiography (CXR) as input, creates a change map showing the disease's effect at a specific spot, and then uses this map to create a binary mask of original image. Results on publicly available TB dataset, TBX11K, confirm that the proposed model produces highly accurate result. © 2023 IEEE.

关键词： Generative adversarial networks

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Optimization of electric discharge drilling of Waspaloy using desirability function analysis

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Materials Today: Proceedings 2023年 72卷 1342-1346页

作者： Harane, Pravin Pandit Sharma, Pravin Omprakash Unune, Deepak Rajendra Department of Mechanical-Mechatronics Engineering The LNM Institute of Information Technology Rajasthan Jaipur 302031 India

Electric discharge drilling (EDD) is a very competent advanced machining technique utilized to fabricate drill holes, but minimum MRR, high TWR, and Ra limit the overall performance of the operation. Achieving precision accuracy holes on superalloys such as Waspaloy is not easy using the traditional machining technique. The investigating effect on responses has been found by conducting EDD experiments under the stipulated range of process parameters. The current, TON, TOFF, TES, and Voltage were chosen as input variables, whereas MRR, TWR, and Ra were selected as output variables. The experimentation was designed based on the Taguchi L16 orthogonal array in which Waspaloy and copper tool electrodes were used for the investigation. The optimization is essential for achieving the maximum performance of EDD. Therefore, in this study, DFA technique was used for the optimizations of EDD of Waspaloy. The optimal parameter settings are determined by using DFA technique. Trial experiments were performed based on optimal settings, improving measured responses positively. © 2022

关键词： Electric discharges

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Impact of Manufacturing Methods on the Mechanical Characteristics of Polymer Matrix Composites with Glass and Epoxy Fiber Reinforcement

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Journal of The Institution of Engineers (India): Series D 2024年 1-7页

作者： Nagaraja, K.C. Manjunath, Attel Pranesh, K.G. Rajeshkumar, G. Raju, M.G. Shastry, Shrimukhi G. Department of Mechanical Engineering Acharya Institute of Technology Karnataka Bengaluru India Department of Mechatronics Engineering Acharya Institute of Technology Karnataka Bengaluru India Department of Mechanical Engineering Akash Institute of Engineering and Technology Karnataka Devanahalli Bengaluru India Department of Mechanical Engineering PSG Institute of Technology and Applied Research Tamil Nadu Coimbatore India

Mechanical evaluation revealed significant variations between polymer composite specimens made by hand lay-up and resin transfer molding (RTM). This study aimed to evaluate the impact of manufacturing processes on important mechanical characteristics using E-glass/epoxy fiber-reinforced polymer matrix composites. When comparing RTM specimens to hand-lay-up specimens, a comparative analysis showed that the mechanical properties of the former had significantly improved. More precisely, RTM specimens demonstrated an amazing 28.51% improvement in tensile strength when compared to hand lay-up specimens. Likewise, RTM manufacturing resulted in a noteworthy 12.54% increase in flexural strength and a noteworthy 49.25% improvement in compressive strength over hand lay-up competitors. Additionally, impact strength tests showed that RTM specimens performed significantly better than hand lay-up specimens by 25.75%. © The Institution of Engineers (India) 2024.

关键词： Resin transfer molding

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Estimated Mathematical Model for Controlling Distance of AGVs with Differential Drive Systems 2

Estimated Mathematical Model for Controlling Distance of AGV...

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2nd International Conference on Mechanics, Electronics, Automation and Automatic Control, MEAAC 2024

作者： Kosiyanurak, Akkharachai Pothi, Nattachai Prasoetkarn, Natthawut Srisertpol, Jiraphon Mechatronics Engineering Program School of Mechanical Engineering Suranaree University of Technology Nakhon Ratchasima Thailand

ISBN: (纸本)9781643685403

This paper investigates the estimation of a straightforward mathematical model tailored for overseeing and regulating the motion of an AGV (Automated Guided Vehicle) equipped with differential drive systems. The mathematical model delineates the correlation between the input voltage signal of the DC motor and the resultant distance output, empirically tested within an open-loop system. This methodology facilitates the development of precise mathematical models aimed at mitigating errors in powertrains and mechanical motion components, including gears, chains, and ground-contacting tires, along with system friction. Moreover, a P controller system is devised to oversee the AGV motion. The stability and control efficacy are assessed through practical experimentation on the AGV's ability to attain predefined distances. Tests were conducted under two distinct conditions: case 1) AGV operation without any payload and case 2) AGV operation while bearing a 14 kg payload. The system's response to the input distance was meticulously observed. The average distance error is calculated at 1.74% of the designated control distance (2m, 3m, and 4m) across all cases. In the absence of a load (case 1), the average distance error remains consistent at 1.74% of the control distance, showcasing a motor speed response of 23.76 RPM (with a rise time of 2.1 s). Conversely, when subjected to a 14 kg payload (case 2), the average distance error marginally increases to 1.76% of the control distance, with a corresponding motor speed response of 23.71 RPM (and a rise time of 2.2 s). These results show the effectiveness of the control system, facilitated by the estimation of a simplistic mathematical model tailored specifically for AGV operations. Â© 2024 The Authors.

关键词： Closed loop systems

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Hyperparameter optimization strategy of multilayer perceptron model for injection molding quality prediction

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International Journal of Advanced Manufacturing technology 2024年第3-4期131卷 1879-1895页

作者： Huang, Ming-Shyan Chang, Chia Hao Department of Mechatronics Engineering National Kaohsiung University of Science and Technology 1 University Road Yanchao Dist Kaohsiung City824 Taiwan

The challenge of maintaining consistent quality in injection molding is critical, yet conducting a comprehensive inspection is both costly and time consuming. Leveraging artificial intelligence, this study proposed using machine learning—specifically multilayer perception (MLP) models—to predict the quality of injection-molded parts. The accuracy of this approach largely relies on hyperparameter tuning, a process that can be cumbersome and suboptimal if performed through trial and error. The Taguchi method has the advantages of robustness, efficiency, and simplicity, and is a widely used robust optimization tool. However, this method assumes a linear relationship between factors, which limits the processing of complex systems where interactions between factors are nonlinear. Furthermore, the Taguchi method is sensitive to initial assumptions about factors and their levels, and the results may not reflect the true behavior of the system. To address this, a two-stage design-of-experiments method was devised that systematically identifies the optimal hyperparameter settings, including the maximum number of epochs, learning rate, momentum, activation function, minimum batch size, and numbers of hidden layers and nodes. The method is executed in two stages: (1) an L12 (21 × 35) orthogonal array is used to identify the primary factors affecting model accuracy and (2) an L8 (23) full-factorial experiment is conducted discover the combinations that yield the highest performance. Two experimental case studies, integrated circuit (IC) tray width prediction and optical component weight prediction, were used to validate the proposed method. The results revealed that the best hyperparameter settings resulted in validation and test accuracy of 96.83% and 95.30%, respectively, for IC tray width prediction. The average root-mean-square errors are 0.019 and 0.022 in model validation and test, respectively, for optical component weight prediction, with short computational time. The p

关键词： Injection molding

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Actuation of Braille Text into a Braille Code and Braille Board with Navigation System 9

Actuation of Braille Text into a Braille Code and Braille Bo...

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9th International Conference on Science, technology, engineering and Mathematics, ICONSTEM 2024

作者： Manikandan, R. Barath, B. Barath, V. Bhrugunandana, K. Sri Krishna College of Engineering And Technology Department of Mechatronics Engineering TamilNadu Coimbatore641008 India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365092

In this paper, a novel idea in reading aid technology for the blind is introduced. Many of these people face issues to lead their life normally. Therefore, a prototype that will help the blind by converting a text document into braille dots and to navigate them we introduced an obstacle detecting using ultrasonic sensor goggles. They can access the content with a variety of tools, including screen readers and text-to-speech converters. By using this, they will only be able to listen to screen readers and not know the spelling of a few uncommon words, and most of the time, these screen readers are computerized voices, which may be inconvenient. The Braille Board is a device that takes any form of a text document as input and converts it into its respective Braille dots for low-vision and visually impaired people. The goggles detect the object and alert them to the braille board device. This study proposes a dc motor design and implementation technique for the Braille Board in particular. © 2024 IEEE.

关键词： DC motors

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Design and Development of Automated Guided Vehicle with Line Follower Concept using IR 5

Design and Development of Automated Guided Vehicle with Line...

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5th IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2023

作者： Anand, M. Kalaiselvi, P. Arun Kumar, S. Nithyavathy, N. SNS College of Technology Department of Mechatronics Engineering Coimbatore India Kongu Engineering College Department of Mechatronics Engineering Erode India

ISBN: (纸本)9781665493604

This research article illustrates the development of an automated guided vehicle as an application of automation in manufacturing sector for warehouse manipulation. This effort had a considerable influence on the industrial sector in terms of contemporary technical achievements. It has the ability to outwit physical labour and control traffic flow in the warehouse and workspace. A robotic system can be built to operate in a complicated environment and along different pathways across the industrial facility. The purpose is to study an industrial compatible design of a user friendly robotic vehicle or AGV. Most industries come across numerous difficulties when it comes to material handling and this proposed robotic design may eliminate all inaccuracies and serve as an asset to any industry. When it comes to designing the vehicle, it is crucial that the chosen equipment have all necessary features and specifications so that it can be assembled efficiently. The AGV can adapt to the working environment and precisely move in an industry warehouse. This paper also highlights a method of line following as the basic principle of operation. A most suitable plan for path tracking is discussed which is formulated based on its drive and turning mechanisms. The embedded system should be developed in such a way that the hardware components are effectively integrated with the software. It consists of a microcontroller and proximity sensors for efficient navigation. The prototype is sophisticated with minimum mechanical and logistic errors, capable of carry loads weighing up to 200kg in pieces or compact lightweight components. The robot follows the instructions and is deployed to bring the raw materials on a specified path to the production line in minimal time. It is capable of detecting and responding autonomously to impediments in its path (persons or objects), in order to ensure that no mistakes or damage occur during transit. © 2023 IEEE.

关键词： Warehouses

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