Paladyn : journal of behavioral robotics最新文献_第3页

Vibration and control optimization of pressure reducer based on genetic algorithm 基于遗传算法的减压机振动与控制优化

Paladyn : journal of behavioral robotics Pub Date : 2023-01-01 DOI: 10.1515/pjbr-2022-0091

Huang Ruei-Yun, Yongyan Zhao

{"title":"Vibration and control optimization of pressure reducer based on genetic algorithm","authors":"Huang Ruei-Yun, Yongyan Zhao","doi":"10.1515/pjbr-2022-0091","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0091","url":null,"abstract":"Abstract A research challenge of vibration and control optimization of pressurized reducer is solved in this article; a method based on genetic algorithm (GA) is proposed to optimize the vibration and control of reducer. Considering the bending strength of helical gear root and tooth surface contact fatigue strength as constraints, the improved GA is used to solve it, and the optimal parameter combination is obtained. The size of center distance is reduced by 9.59% compared with that before. Based on the optimized results, the vibration becomes weaker with the increase of the load at the output end of the reducer, and its maximum value is only 1/8 of that when the load is 550 N. The experimental results show the optimized surface load distribution of driving gear teeth. The maximum normal load per unit length of the optimized output stage driving gear surface is 521.321 N/mm, which is significantly lower than the 662.455 N/mm before optimization. At the same time, the tooth surface load is evenly distributed. The larger tooth surface load is mainly distributed in the middle of the tooth surface with strong bearing capacity, which effectively solves the problem of unbalanced load before optimization and improves the bearing capacity of gear transmission. It is proved that GA can effectively realize the vibration and control optimization of pressurized reducer.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76586107","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

Improved GA-PSO algorithm for feature extraction of rolling bearing vibration signal 基于改进GA-PSO算法的滚动轴承振动信号特征提取

Paladyn : journal of behavioral robotics Pub Date : 2023-01-01 DOI: 10.1515/pjbr-2022-0092

Lixia Hao

{"title":"Improved GA-PSO algorithm for feature extraction of rolling bearing vibration signal","authors":"Lixia Hao","doi":"10.1515/pjbr-2022-0092","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0092","url":null,"abstract":"Abstract To better extract the characteristics of rolling bearing vibration signals, the author proposes a method based on improved genetic algorithm-particle swarm optimization (GA-PSO) algorithm. The common time-domain and frequency-domain feature index construction vectors were extracted based on vibration signals, for signal prediction, by establishing an improved particle swarm algorithm, and by optimizing the signal feature model of the support vector machine (SVM), the signal of the rolling bearing was predicted. The experimental results show that: After the author’s improved particle swarm algorithm optimizes SVM, the signal characteristic accuracy of the bearing is significantly higher, the regression fitting curve is smoother, although the fitting trend is basically the same, the error is significantly higher, this shows that it is feasible to optimize SVM’s rolling bearing signal characteristics based on particle swarm optimization, and proved the author’s improvement of the particle swarm algorithm, it is effective in optimizing SVM parameters. It is proved that the improved GA-PSO algorithm can better extract the characteristics of the vibration signal of the rolling bearing.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81120045","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

Reconfigurable intelligent surface with 6G for industrial revolution: Potential applications and research challenges 面向工业革命的6G可重构智能表面:潜在应用和研究挑战

Paladyn : journal of behavioral robotics Pub Date : 2023-01-01 DOI: 10.1515/pjbr-2022-0114

Ashish K. Singh, A. Maurya, Ravi Prakash, P. Thakur, Brij Bihari Tiwari

引用次数: 1

Real-time image defect detection system of cloth digital printing machine 布料数码印花机实时图像缺陷检测系统

Paladyn : journal of behavioral robotics Pub Date : 2023-01-01 DOI: 10.1515/pjbr-2022-0099

Hongliang Liu

{"title":"Real-time image defect detection system of cloth digital printing machine","authors":"Hongliang Liu","doi":"10.1515/pjbr-2022-0099","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0099","url":null,"abstract":"Abstract In order to solve the surface defects such as white silk, spots and wrinkles in the process of digital printing, a surface defect detection system for printed fabrics based on accelerated robust feature algorithm was proposed. Image registration is mainly carried out through accelerated robust feature (SURF); bidirectional unique matching method is adopted to reduce mismatch points, achieve accurate image registration, and extract defect information through differential algorithm. The performance of the improved surfing algorithm is verified by using multiple images. The experimental results show that compared with the traditional template matching method, the detection accuracy of the system detection algorithm is 12% higher, and the average time is 42.81 ms shorter than the traditional template matching method. Experiments show that the improved surfing algorithm has short time and high precision. The system can meet the actual production needs. The new system can detect surface defects on printed fabrics with an accuracy of 98%. Conclusion: The algorithm has higher detection rate and faster detection speed, which can meet the needs of practical industrial applications.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78891649","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

Control strategy for plug-in electric vehicles with a combination of battery and supercapacitors 电池与超级电容器结合的插电式电动汽车控制策略

Paladyn : journal of behavioral robotics Pub Date : 2023-01-01 DOI: 10.1515/pjbr-2022-0111

M. R. Reddy, Subramanya Sarma Saraswathula, Vangala Naga Siva Rama Murthy, Challagulla Kesava Tripureswari Sita Raghava Kowstubha

{"title":"Control strategy for plug-in electric vehicles with a combination of battery and supercapacitors","authors":"M. R. Reddy, Subramanya Sarma Saraswathula, Vangala Naga Siva Rama Murthy, Challagulla Kesava Tripureswari Sita Raghava Kowstubha","doi":"10.1515/pjbr-2022-0111","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0111","url":null,"abstract":"Abstract Research proposes an optimal power distribution approach for application of electric vehicle (EV) with use of hybrid energy storage system (HESS). HESS protection structure includes dual isolated-based soft-switching symmetrical coupling with half-bridge bidirectional converters to the system of battery and supercapacitors (SCs). The bidirectional converter properly controls the charging process of the battery and SC as well. Besides, spiral wound SCs of mesoporous electrode material have been used in EVs. In the drive cycle of EVs, the operation of SC relates to the functionality of the allocated scheme under “peak load transfer” at 2i sc ∼ 3i bat current profile carried out. New energy allocation strategies under SOC control enable SC charging and discharging at peak currents of around 4i bat. The comparison of the mode of the battery system showed that the performance acceleration built under EVs has been improvised at a certain rate of 50% with a loss of energy minimised to 69%. As a result, the technique adapts different load curves, thus enhancing the utilisation of energy with reduced aging of the battery. The simulation results show that the proposed scheme meets the power demand of a typical driving cycle, for testing vehicle performance, and various energy management system have been assessed based on hydrogen consumption, overall efficiency, state of charge of SCs and batteries, stress on hybrid sources, and DC bus stability. The proposed strategy reduces hydrogen consumption by 8.7% compared to other strategies.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83088428","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

Mechanical equipment fault diagnosis based on wireless sensor network data fusion technology 基于无线传感器网络数据融合技术的机械设备故障诊断

Paladyn : journal of behavioral robotics Pub Date : 2023-01-01 DOI: 10.1515/pjbr-2022-0097

Fang Hao, Qiuping Yang, Anjali Sharma, V. Balyan

{"title":"Mechanical equipment fault diagnosis based on wireless sensor network data fusion technology","authors":"Fang Hao, Qiuping Yang, Anjali Sharma, V. Balyan","doi":"10.1515/pjbr-2022-0097","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0097","url":null,"abstract":"Abstract To save network energy consumption and prolong network life cycle in complex mechanical fault diagnosis, a research method of data fusion routing protocol algorithm based on wireless sensor network (WSN) is proposed. The specific content of the method is as follows: First, the low-energy adaptive clustering hierarchy algorithm is analyzed and discussed. On this basis, the prim route fusion algorithm is proposed to realize the effective utilization of energy and prolong the life of the network. Then, the WSN is abstracted as an undirected graph. From the perspective of saving the energy of the whole network, several current algorithms for building fusion trees are compared. The experimental results show that the prim algorithm consumes energy only after 700 rounds of clustering, while the leach clustering algorithm consumes energy only after 500 rounds. This shows that applying the prim algorithm can reduce the energy consumption of the whole network and prolong the life cycle of the network. However, the algorithm is carried out on the premise of uniform distribution of nodes, and there is a certain gap with the specific application of WSN in mechanical fault diagnosis. In the comparison of node energy consumption, it is found that compared with using the shortest path tree, using the central point of graph algorithm can greatly save the energy consumption of the node and has better performance. Practice has proved that this method can effectively remove redundant data information and solve the problem of unreliable data collected by a single sensor node. It is more suitable for the specific application of WSN in mechanical fault diagnosis.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87990929","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

Integration of artificial intelligence in robotic vehicles: A bibliometric analysis 人工智能在机器人车辆中的集成:文献计量学分析

Paladyn : journal of behavioral robotics Pub Date : 2022-01-01 DOI: 10.1515/pjbr-2022-0102

Bhavesh Raju Mudhivarthi, P. Thakur

{"title":"Integration of artificial intelligence in robotic vehicles: A bibliometric analysis","authors":"Bhavesh Raju Mudhivarthi, P. Thakur","doi":"10.1515/pjbr-2022-0102","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0102","url":null,"abstract":"Abstract Robots are rapidly growing technologies in simple words. Robots are artificial living things in this world that are created by humans for reducing human involvement in the top domains such as agriculture, medicine, and industries. Based on the requirements of work, robots are classified into six major categories. Robotic vehicles come under the division of autonomous mobile robots and automated guided vehicles. These vehicles are more popular in factories for supporting humans. Integration of artificial intelligence (AI) in a robotic vehicle gives the brain to the vehicle that can sense the surrounding environment and work accordingly without human operation. This article describes bibliometric research on the integration of AI in robotic vehicles. During the research, 1,196 documents are extracted from the Scopus database between 2015 till now. The types of publications included in this bibliometric analysis are articles, conference papers, reviews, book chapters, books, and short surveys that help understand the global research domain. The pictorial representation was made with the help of open-source platforms such as VOSviewer, GPS visualizer, Gephi, ScienceScape, and word cloud. This analysis helps understand the research gap in this domain.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"62 1","pages":"110 - 120"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77902144","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: 2

Social inclusion of robots depends on the way a robot is presented to observers 机器人的社会包容性取决于机器人呈现给观察者的方式

Paladyn : journal of behavioral robotics Pub Date : 2022-01-01 DOI: 10.1515/pjbr-2022-0003

Cecilia Roselli, F. Ciardo, A. Wykowska

引用次数: 0

Categorizing threat types and cyber-assaults over Internet of Things-equipped gadgets 分类威胁类型和对物联网设备的网络攻击

Paladyn : journal of behavioral robotics Pub Date : 2022-01-01 DOI: 10.1515/pjbr-2022-0100

Abhinav Sharma, Anand Kumar Gupta, Mohammad Shabaz

引用次数: 2

Study of industrial interactive design system based on virtual reality teaching technology in industrial robot 基于虚拟现实教学技术的工业机器人交互设计系统研究

Paladyn : journal of behavioral robotics Pub Date : 2022-01-01 DOI: 10.1515/pjbr-2022-0004

Yinghui Liu, Ashima Kukkar, M. A. Shah

{"title":"Study of industrial interactive design system based on virtual reality teaching technology in industrial robot","authors":"Yinghui Liu, Ashima Kukkar, M. A. Shah","doi":"10.1515/pjbr-2022-0004","DOIUrl":"https://doi.org/10.1515/pjbr-2022-0004","url":null,"abstract":"Abstract Across numerous disciplines, virtual reality (VR) had been used to aid decision-making in training, design, and evaluation processes. Both the educational and industrial groups have contributed to a vast knowledge based on a variety of VR topics during the last two decades. VR has been expanded to industry in recent years, but the majority of its applications do not involve industrial robots. To study the application of VR technology in industrial design, it is better to combine the design activities with computer-integrated manufacturing system and bring new opportunities for the innovation of industrial design. Therefore, in this article, an application of industrial interactive design system based on VR technology in the education domain is explored. First, the function and scheme design of industrial robot assembly and adjustment system are designed, and the model is established. Finally, SolidWorks and 3DsMAX are selected as three-dimensional model development tools. Unity 3D is used as the VR development engine; HTC VIVE is used as VR equipment. The study shows that the design of the machine motion instruction interpreter is effective, and the specific steps of the system to realize real-time control are also given. The feasibility of the system is verified through the analysis of typical applications of industrial robots.","PeriodicalId":90037,"journal":{"name":"Paladyn : journal of behavioral robotics","volume":"42 1","pages":"45 - 55"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85451544","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: 4