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AI-Driven Test and Measurement automation in Electronics Manufacturing 9

AI-Driven Test and Measurement Automation in Electronics Man...

引用

9th International conference on science, Technology, engineering and Mathematics, ICONSTEM 2024

作者： Agrawal, Anurag Vijay Raju, Kommisetti Murthy Aparna, P. Sravya, Gade Chandrashekhar, A. Ramya, J. J. P. Institute of Engineering And Technology Department of Electronics And Communication Engineering Uttar Pradesh Meerut250001 India Shri Vishnu Engineering College For Women Department of Electronics And Communication Engineering Andha Pradesh Bhimavaram534202 India Rmk College of Engineering And Technology Department of Computer Science Engineering Tamil Nadu Puduvoyal601206 India Shri Vishnu Engineering College For Women Department of Electronics And Communication Engineering Andhra Pradesh Bhimavaram534202 India Faculty of Science And Technology Icfai Foundation For Higher Education Department of Mechanical Engineering Telangana Hyderabad501203 India St. Joseph's College of Engineering Omr Department of Artificial Intelligence And Data Science Tamil Nadu Chennai600119 India

ISBN: (纸本)9798350365092

Innovative strategies to increase output while decreasing expenses and enhancing product quality are essential in the dynamic electronics manufacturing industry. A robust AI-based system for automating test and measurement tasks in electronics manufacture is detailed in this research. Manual testing and measurement is a part of traditional production procedures;it's labor-intensive, time-consuming, and prone to mistakes. Smarter, more adaptable, and more efficient processes are achieved through the automation of tests and measurements facilitated by AI. The proposed approach makes use of machine learning techniques to sift through mountains of industrial data. In order to identify patterns, outliers, and problems, the AI system examines both past and present data. Reducing the likelihood of defective items reaching the final stage of production, this proactive technique helps identify and rectify issues fast. Product quality, cost, scrap rate, and production yield are all enhanced by AI-driven test and measurement automation in electronics manufacturing. In keeping with Industry 4.0, this ground-breaking method improves the manufacturing processes of electronic devices. Industry intelligence, sustainability, and efficiency are all enhanced by it. © 2024 ieee.

关键词： Learning systems

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Real-Time Sliding Mode Fault Diagnosis for a Three-Wheeled Omnidirectional Mobile Robot 18

Real-Time Sliding Mode Fault Diagnosis for a Three-Wheeled O...

引用

ieee 18th International conference on automation science and engineering (ieee CASE)

作者： Lizarraga, Adrian Begovich, Ofelia Ramirez, Antonio Cinvestav Guadalajara Dept Elect Engn Zapopan 45019 Jalisco Mexico

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

This work introduces the design of a sliding mode fault diagnoser capable of diagnosing simultaneous faults in a three-wheeled omnidirectional mobile robot. The approach proposes an augmented system comprising the system states and the dynamics of the faults. Based on this, a sliding mode observer is designed to estimate both, the system state and fault magnitudes, allowing the fault diagnosis. This approach leads to light and efficient implementations, which is suitable for real-time applications. The approach has been tested in a real mobile robot showing satisfactory results.

关键词： Fault diagnosis Computer aided software engineering Codes automation Observers Robot sensing systems Real-time systems

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Modeling analysis and simulation of robot active cable 2

Modeling analysis and simulation of robot active cable

引用

2nd ieee International conference on Electrical, automation and Computer engineering, ICEACE 2024

作者： Chen, Peng Liu, Yuwang Deng, Zhaoyan Ding, Qing Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350368208

Aiming at the difficulties in verifying the wiring results in the robot wiring design process and the difficulty in predicting the cable shape during the robot motion, a method for modeling physical properties of movable cables has been proposed based on the Kirchhoff elastic rod theory. Taking the Chebyshev polynomial zero as the discrete node, the differential quadrature method was used to discretize the established model, and the constraint equation was added to deal with the boundary conditions, and the original equation was transformed into a nonlinear system of equations. Based on the idea of nonlinear least squares and trust region strategy, a new optimization algorithm was proposed to solve the discrete equations. The calculation results show that, compared with other algorithms, this algorithm has higher calculation efficiency and calculation accuracy. © 2024 ieee.

关键词： Machine design

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A Face Super-Resolution Reconstruction Algorithm Based on Residual Estimation 14

A Face Super-Resolution Reconstruction Algorithm Based on Re...

引用

14th ieee International conference on Cyber Technology in automation, Control, and Intelligent Systems, CYBER 2024

作者： Yu, Xiaosheng Liu, Guanglai Teng, Zi Li, Xiaoqiang Chen, Jubo Northeastern University Faculty of Robot Science and Engineering Liaoning Shenyang China College of Information Science and Engineering Northeastern University Liaoning Shenyang China

ISBN: (纸本)9798331506056

Face super resolution can greatly improve the performance of various facial analysis applications, such as face recognition and facial expression analysis. This paper introduces a facial super-resolution network model that utilizes residual estimation for enhancing image quality. The model engages a two-stage reconstruction process to generate super resolution face images, which effectively simplifies the learning complexities of the network. Moreover, the model incorporates prior facial information into the loss function to mitigate the influence of the background on the facial region within the image. This incorporation facilitates a more accurate reconstruction of super resolution facial images. The robustness and effectiveness of this facial super-resolution network based on residual estimation are evaluated through both quantitative and qualitative assessments, employing some classical facial image datasets. © 2024 ieee.

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Characteristics of Return Stroke Electromagnetic Waveforms in Zhangbei Wind Farms 51

Characteristics of Return Stroke Electromagnetic Waveforms i...

引用

51st ieee International conference on Plasma science, ICOPS 2024 and 4th Asia-Pacific conference on Plasma and Terahertz science, APCOPTS 2024

作者： Fan, W. Cai, L. Yan, R. Zhou, M. Cao, J. Wang, J. Fan, Y. Wuhan University School of Electrical Engineering and Automation Wuhan China

ISBN: (纸本)9798350360912

Lightning poses a significant threat to the wind farms. The wind farms in the Zhangbei are representative of plateau land wind farms in China, and research on their lightning electromagnetic characteristics provides crucial references for lightning protection arrangements in wind farms in the northwest region of China. This study conducted electromagnetic field waveform detection in the wind farms of the Zhangbei area, employing fast electric field sensors with a decay time constant of 1 ms, and fast electric field measurement equipment with a bandwidth of 200 Hz to 500 kHz and a sampling rate of 10 MHz. A total of 112 lightning events and 300 return stroke electromagnetic field waveforms were obtained and analyzed, with 50 positive and 250 negative return strokes, respectively. © 2024 ieee.

关键词： Lightning protection

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Feedback Control Based on Trust for Varied automation Transparency 1

Feedback Control Based on Trust for Varied Automation Transp...

引用

1st International conference on Advances in Computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Dbritto, Ceres Lopes, Joel Bandyopadhyay, Krishnan Banerji, Nandan Mishra, Ishani Kandpal, Ankit St Louis United States Redmond United States Dayananda Sagar College of Engineering Department of Medical Electronics Engineering Karnataka Bengaluru India Sikkim Manipal Institute of Technology Sikkim Manipal University Department of Computer Science and Engineering Sikkim India New Horizon college of Engineering Department of Computer Science and Engineering Karnataka Bengaluru560103 India Bipin Tripathi Kumaon Institute of Technology Department of ECE Almora Dwarahat India

ISBN: (纸本)9798331518578

Interactions between people and automation depend heavily on human confidence in the latter. Lack of trust can cause people to not use automation, while too much trust can cause them to put their faith in a flawed autonomous system, which could have detrimental effects on them. Transparency and trust in automation are vital for the usefulness and security of human-robotization frameworks. The majority of the research that has been done on the trust that human operators have in robotics and automation has been an ongoing variable that has received little attention. paid to how trust changes over time. In order to fill this research void, we offer a study that examines how trust is dynamic. Using real-time trust measurements, we first discovered options to quantify trust of entirety, which we described as a metric that considers trust throughout the entire human-automation interaction experience. In this study, a feedback control strategy for powerfully changing mechanization straightforwardness and transparency concurring on client trust is analysed. The proposed approach tweaks mechanical way of behaving and correspondence by incorporating an input control component with a trust assessment model. The adequacy of the feedback control framework in improving errand execution and trust adjustment under different levels of computerization straightforwardness and transparency is checked utilizing MATLAB reenactments. © 2025 ieee.

关键词： Human robot interaction

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SmartSimVR: An Architecture Integrating Machine Learning and Virtual Environment for Real-Time Simulation Adaptation 10

SmartSimVR: An Architecture Integrating Machine Learning and...

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10th International conference on automation, Robotics, and Applications, ICARA 2024

作者： Hadadi, Azadeh Chardonnet, Jean-Remy Guillet, Christophe Ovtcharova, Jivka Institute for Information Management in Engineering Karlsruhe Institute of Technology Karlsruhe Germany Arts et Metiers Institute of Technology LISPEN HESAM Université UBFC Chalon-Sur-Saône France Universite de Bourgogne LISPEN UBFC Chalon-Sur-Saône France

ISBN: (纸本)9798350394245

This paper introduces SmartSimVR, a ground-breaking research initiative focused on the development of a user-specific intelligent architecture for immersive virtual environments. The primary objective of this architecture is to address real-time artificial intelligence training and adapt the virtual environment based on the user's state or external parameters. In a case study centered around the detection of cybersickness, an undesirable side effect in immersive virtual environments, we employed this architecture in a driving simulator application. Leveraging the capabilities of this architecture enables the optimization of virtual reality experiences for individual users, resulting in increased comfort. © 2024 ieee.

关键词： Virtual reality

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Design of a Wearable sEMG Signal Acquisition System for Human-Computer Interaction 14

Design of a Wearable sEMG Signal Acquisition System for Huma...

引用

14th ieee International conference on Cyber Technology in automation, Control, and Intelligent Systems, CYBER 2024

作者： Fei, Fei Yao, Yike Cao, Qingqing Wu, Changcheng Yang, Ruonan Mao, Lizhi College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China School of Instrument Science and Engineering Harbin Institute of Technology Harbin China School of Aviation Engineering Nanjing Vocational University of Industry Technology Nanjing China

ISBN: (纸本)9798331506056

The method of hand gesture recognition based on surface electromyography (sEMG) signals has garnered increasing attention due to its real-time, convenient, and non-invasive characteristics. This paper presents the design of sEMG signal acquisition system aimed at capturing subtle sEMG signals from the skin surface for applications in human-computer interaction and remote control. Firstly, an analysis of the characteristics of sEMG signals and their sources of interference noise is conducted. Subsequently, a circuit for processing sEMG signals is designed. Additionally, a hardware structure for forearm wearable devices is developed, incorporating a rotating toothed tube to enhance the tightness between the electrodes and the skin surface. Finally, experiments based on the anatomical structure of the forearm muscles are designed to verify the system. © 2024 ieee.

关键词： Gesture recognition

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Design and Comparison of Two Nonlinear Tracking Algorithms for Quasilinear Systems with Unmatched Perturbations 10

Design and Comparison of Two Nonlinear Tracking Algorithms f...

引用

10th International conference on automation, Robotics, and Applications, ICARA 2024

作者： Dritsas, Leonidas ASPETE Electrical & Electronic Engineering Educators Department Athens Greece

ISBN: (纸本)9798350394245

This article is concerned with the design of two sliding mode controllers for the robust tracking control of a class of uncertain systems with linear nominal part and perturbations (disturbances, uncertainties and nonlinear loads) which can be both matched and unmatched. The proposed three-term feedback control architecture consists of a linear state feedback term, a feedforward term and a nonlinear term. A 'Reference Model' approach is employed for the design of the three-term tracking controller. For its nonlinear part two separate variants are investigated: the conventional Sliding Mode (cSMC) and the integral Sliding Mode (iSMC). A systematic derivation of the two Sliding Mode controllers is presented along with the design of the nonlinear gains. The numerical examples demonstrate and compare the proposed methodologies on a single input nominally unstable plant. © 2024 ieee.

关键词： State feedback

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A Residential Home Energy Management System using Hybrid Particle Swarm-Grey Wolf Optimization 10

A Residential Home Energy Management System using Hybrid Par...

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10th International conference on automation, Robotics, and Applications, ICARA 2024

作者： Juyal, Vikas Deep Kakran, Sandeep National Institute of Technology Electrical Engineering Department Kurukshetra India

ISBN: (纸本)9798350394245

With the evolution of technology since the last decade, smart appliances are now the trend in most developed countries and soon will be a part of a typical user all over the world. The phenomenon of the smart grid allows controlling the time of operation of the appliances through two-way communication with the utility by employing a demand response program with the help of an energy management centre. In this paper, a hybrid of particle swarm optimization and grey wolf optimization technique is proposed and implemented for scheduling home appliances to minimize the electricity consumption bill. Real-time pricing (RTP) and inclined block rate RTP demand response programs have also been implemented to limit the peak-to-average ratio (PAR). Several cases have been compared with different conditions and found that the proposed strategy gives improved results in terms of electricity cost as well as PAR value. © 2024 ieee.

关键词： Domestic appliances

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