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检索条件"任意字段=2nd International Conference on Automation, Robotics and Computer Engineering, ICARCE 2023"

共 908 条记录，以下是61-70 订阅

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Study on the Evaluation Method of Angularity and Position Errors for Plane Features

Study on the Evaluation Method of Angularity and Position Er...

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automation, robotics and computer engineering (icarce), international conference on

作者： Zexiang Zhao Xinyu Zhao Bin Li School of Mechatronics Engineering Zhongyuan University of Technology Zhengzhou China School of Computer Science Zhongyuan University of Technology Zhengzhou China Key Laboratory of Optical Sensing and Testing Technology for Mechanical Industry Zhengzhou China

The plane features of part drawings may have such indications as angularity tolerance and/or position tolerance and additional symbols. In this paper, twelve kinds of angularity tolerance drawing indications and twenty-eight kinds of position tolerance drawing indications were given, and the evaluation models of angularity error and position error were established. Based on the models above, the program for evaluating angularity errors and position errors of plane features was developed. The simulated profiles of plane features for two samples were taken as an example, and twelve cases of angularity errors and twenty-eight cases of position errors were evaluated and analyzed. The analysis of the evaluation results showed that the evaluation results of partial angularity errors and position errors are quite different under the same datum plane and the same measured object, and both datum plane and toleranced object have obvious influences on the evaluation results of angularity errors and position errors. This research may help designers understand the meanings of angularity tolerance zones, position tolerance zones and their additional symbols and indicate drawings reasonably.

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An architecture por graphics application development 2

An architecture por graphics application development

引用

2nd IEEE international conference on robotics and automation, ICRA 1985

作者： Kasik, David J. Boeing Computer Services SeattleWA United States

ISBN: (纸本)0818606150

The construction of applications for sophisticated Scientific and engineering disciplines is Often time consuming and costly. However, applications ranging from finite element analysis to numerical control to robotics have similar requirements for programming tools that can greatly reduce the time to construct an application and improve its quality. This paper defines a set of Boeing-developed tools to help in the implementation of graphics based applications. © 1985 IEEE.

关键词： Robot programming

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Evaluation of Global Sizes and Cylindricity Errors Based on fminimax Optimization Function

Evaluation of Global Sizes and Cylindricity Errors Based on ...

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automation, robotics and computer engineering (icarce), international conference on

作者： Xinyu Zhao Zexiang Zhao Dongxu Ren School of Computer Science Zhongyuan University of Technology Zhengzhou China School of Mechatronics Engineering Zhongyuan University of Technology Zhengzhou China Key Laboratory of Optical Sensing and Testing Technology for Mechanical Industry Zhengzhou China

Based on the evaluation definitions of minimum circumscribed, maximum inscribed and minimum zone methods for global sizes and cylindricity errors of cylinder, the optimization objective function of the axis parameters of the reference cylindrical surfaces and the evaluation models of global sizes and cylindricity errors were built. The subprograms for the optimization objective functions of the axis parameters of the reference cylindrical surfaces and the evaluation of global sizes and cylindricity errors were written by using Matlab language. The roundness profiles of four cylindrical samples were extracted, and their global sizes and cylindricity errors were evaluated based on least square, minimum circumscribed, maximum inscribed and minimum zone methods. The evaluation results of the optimization characteristic values of fminimax optimization function were compared with those evaluated by using other optimization methods, and it turned out that the accuracy of the optimization objective characteristic values of fminimax optimization function are higher or equal to those evaluated by other optimization methods, which is suitable to the application in the evaluation of global sizes and cylindricity errors.

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Res-UNet Based Fetal Electrocardiogram Extraction via Time-Frequency Representation

Res-UNet Based Fetal Electrocardiogram Extraction via Time-F...

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automation, robotics and computer engineering (icarce), international conference on

作者： Zhenqin Chen Yiwei Lin Jinshan Xu College of Computer Science Zhejiang University of Technology Hangzhou China

The fetal heart rate variation serves as an effective means of fetal health monitor. Although can be captured through abdominal electrocardiogram (AECG) of pregnant women, the AECG signal contains interference from maternal heart activity and other sources. Due to the higher-amplitude maternal ECG (MECG), the waveform of the fetal ECG (FECG) is obscured, making FECG separation challenging. However, the similarity of the frequency patterns of both types of ECG signals implies the possibility of reconstructing FECG using the frequency and the strength information of FECG. To this end, we employ the short-time Fourier transform (STFT) to convert the AECG signal into its time-frequency representation, and utilize a neural network model for extracting FECG from the time-frequency domain. The model can obtain high-quality FECG by capturing the amplitude differences between fetal and maternal heartbeats in different frequency components of AECG. Moreover, a combined time-domain and frequency-domain loss is introduced to enhance the model's separation performance. The proposed method is validated on public databases and demonstrates outstanding performance, providing an effective and feasible solution for non-invasive monitoring of fetal health.

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Optimization of Resonance Parameters for Wireless Energy Transmission Systems With Bilateral LCC Resonant Circuits

Optimization of Resonance Parameters for Wireless Energy Tra...

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automation, robotics and computer engineering (icarce), international conference on

作者： Yuxin He Yunna Tian Yixuan Li Ruoshi Wang School of Mathematics and Computer Science Yan'an University Shaanxi China College of Earth Sciences and Technology Zhengzhou University Henan China

The wireless energy transmission system is suitable for special occasions to replace the traditional wired power transmission method due to the elimination of cable connection. The wireless energy transmission system using magnetic inductive coupling with bilateral LCC resonant network can improve the power and efficiency of the system. In this paper, a mathematical model of wireless energy transmission system based on bilateral $LCC$ resonant network is established according to the working principle of the system, and under the condition of meeting the electrical performance indexes of the system (e.g., voltage, power, etc.), a dual-objective optimization objective function of minimizing the volume and weight is constructed, and the NSGA-II algorithm is used to find an optimal solution to the objective function. Through comparison experiments with other optimization algorithms, it is found that the NSGA-II algorithm has excellent performance in terms of solution accuracy and convergence speed in solving the problems targeted in this paper, which can better break through the limitations of local optimal solutions. The results of this paper provide a theoretical and numerical analysis basis for the miniaturization and lightweighting of transmission devices.

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Modeling analysis and simulation of robot active cable 2

Modeling analysis and simulation of robot active cable

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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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Anomaly Detection for Aircraft Based on Multivariate LSTM and Predictive Residual Test

Anomaly Detection for Aircraft Based on Multivariate LSTM an...

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automation, robotics and computer engineering (icarce), international conference on

作者： Chaoqi Zhang Wu Wei Gongcheng Zhou Gang Xiang Ruishi Lin Langfu Cui Dongpeng Li Yu Peng Guizhen Yu School of Transportation Science and Engineering Beihang University Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Aerospace Automatic Control Institute Beijing China Beihang University Beijing China

With the increasing complexity and high reliability requirements of aircraft, researching more accurate anomaly detection methods and real-time monitoring of aircraft status is of great significance for ensuring equipment safety. This paper proposes a method based on multivariate LSTM and residual testing for anomaly detection in high-dimensional complex data. Firstly, by utilizing maximum mutual information to analyze the correlation of multidimensional data, a multivariate LSTM model is established based on high correlation parameters to predict the parameters. Then, combined with the idea of statistical hypothesis testing, test the statistical distribution of residuals on the training data of the prediction model using Kolmogorov-Smirnov method, and the dynamic threshold for anomaly detection is obtained through significance testing. Finally, real-time calculation of residuals between online monitoring data and predicted values is calculated, and anomaly detection is achieved by comparing the residual with threshold. The method proposed in this paper exhibits excellent anomaly detection performance on real flight data of aircraft.

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Characteristics study of the gears by the CAD/CAE 2

Characteristics study of the gears by the CAD/CAE

引用

2nd international conference on automation, Control and robotics engineering (CACRE)

作者： Wang, P. Y. Chang, S. L. Lee, B. Y. Nguyen, D. H. Cao, C. W. Natl Formosa Univ Dept Mech Design Engn Huwei Taiwan Natl Formosa Univ Dept Power Mech Engn F Huwei Taiwan Natl Formosa Univ Dept Mech & Comp Aided Engn F Huwei Taiwan

Gears are the most important transmission component in machines. The rapid development of the machines in industry requires a shorter time of the analysis process. In traditional, the gears are analyzed by setting up the complete mathematical model firstly, considering the profile of cutter and coordinate systems relationship between the machine and the cutter. It is a really complex and time-consuming process. Recently, the CAD/CAE software is well developed and useful in the mechanical design. In this paper, the Autodesk Inventor r software is introduced to model the spherical gears firstly, and then the models can also be transferred into ANSYS Workbench for the finite element analysis. The proposed process in this paper is helpful to the engineers to speed up the analyzing process of gears in the design stage.

关键词： computer aided design

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Simulation of Formation Control for AUVs with Reinforcement Learning Toolbox 2

Simulation of Formation Control for AUVs with Reinforcement ...

引用

2021 2nd international conference on Machine Learning and computer Application, ICMLCA 2021

作者： Guo, Xiaomin Li, Xiaowen Wang, Bing Gao, Hongwei Li, Yan School of Automation and Electrical Engineering Shenyang Ligong University Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China College of Information Liaoning University Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China School of Automation and Electrical Engineering Shenyang Ligong University Shenyang China

ISBN: (纸本)9783800757398

Autonomous Underwater Vehicle (AUV) plays an important role in plenty of fields. It is a challenging task to design a high-performance formation controller for AUVs. In this paper, a formation control policy of dual underwater vehicles based on the deep reinforcement learning method Deep Deterministic Policy Gradient method (DDPG) is proposed. The goal of our scenario is that the back AUV follows the front AUV at a certain safe distance. The policy trains the speed and direction of the back AUV, meanwhile, the customized reward function is used to ensure that the distance between the back AUV and the front AUV is within the safe distance range, and minimize the lateral deviation. The simulation results show the effectiveness of the deep reinforcement learning method in AUV formation control. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Autonomous underwater vehicles

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Regression Model for State of Charge Estimation of Lithium Ion Batteries in Electric Vehicle 2

Regression Model for State of Charge Estimation of Lithium I...

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2nd international conference on Advancements in Electrical, Electronics, Communication, Computing and automation, ICAECA 2023

作者： Aishwarya, Shree J. Richie, Soshan E. Hari, Ram Karthik M. Vigneswar, N. Sudhakar, R. Murugarajan, A. Sri Ramakrishna Engineering College Robotics and Automation Engg. Coimbatore India

ISBN: (纸本)9798350306811

Electric vehicle (EV) batteries are essential to increasing the effectiveness and affordability of EVs. To optimize battery usage and improve performance and longevity, it is essential to establish the relationship between the chemical behavior and physical factors that affect battery performance. In this study, statistical techniques are employed to identify the dynamic parameters, namely current, voltage, state of charge, temperature, ambient temperature, etc.,that influences the target variable, state of chargeThe battery's performance and efficiency are greatly influenced by the target variable, so improving it is essential to lengthening the battery's useful life. The results of this paper dive into the factors affecting EV battery usage, which can inform the development of strategies for optimizing battery performance and increasing the longevity of EV batteries. © 2023 IEEE.

关键词： Lithium-ion batteries

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