2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)最新文献_第2页

Droop Coefficient Design in Droop Control of Power Converters for Improved Load Sharing: An Artificial Neural Network Approach 基于人工神经网络的电力变换器下垂控制中的下垂系数设计

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576482

Habibu Hussaini, Tao Yang, Yuan Gao, Cheng Wang, T. Dragičević, S. Bozhko

{"title":"Droop Coefficient Design in Droop Control of Power Converters for Improved Load Sharing: An Artificial Neural Network Approach","authors":"Habibu Hussaini, Tao Yang, Yuan Gao, Cheng Wang, T. Dragičević, S. Bozhko","doi":"10.1109/ISIE45552.2021.9576482","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576482","url":null,"abstract":"In this paper, a new approach for the design of the droop coefficient in the droop control of power converters using the artificial neural network (ANN) is proposed. In the first instance, a detailed more electric aircraft (MEA) electrical power system (EPS) circuit model is simulated in a loop using different combinations of the converters droop coefficients within a design space. The inaccurate output DC currents sharing of the converters due to the influence of the unequal cable resistance are then obtained from each of the simulations. The data generated is then used to train the NN to be a dedicated surrogate model of the detailed MEA EPS simulation. Thus, for any user-defined desired current sharing among the converters that are within the design space, the proposed NN can provide the optimal droop coefficients. This NN approach has been verified through simulations to ensure accurate current sharing between the converters as desired. Hence, can be used in the design of the droop coefficient to enhance the performance of the conventional droop control method.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122065150","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

The multi -criteria effectiveness evaluation of the robotic group based on 3D real-time vision system 基于三维实时视觉系统的机器人群多准则有效性评价

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576425

Mikhail V. Ivanov, O. Sergiyenko, L. Lindner, Paolo Mercorelli, Julio Cesar Rodrjguez-Quiñonez, W. Flores-Fuentes

{"title":"The multi -criteria effectiveness evaluation of the robotic group based on 3D real-time vision system","authors":"Mikhail V. Ivanov, O. Sergiyenko, L. Lindner, Paolo Mercorelli, Julio Cesar Rodrjguez-Quiñonez, W. Flores-Fuentes","doi":"10.1109/ISIE45552.2021.9576425","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576425","url":null,"abstract":"Robotic group collaboration in a densely cluttered terrain is one of the main problems in mobile robotics control. This article describes the basic set of tasks solved to model a robotic group behavior during the distributed search of an object (goal) with parallel mapping. The navigation scheme uses the benefits of the authors' original technical vision system (TVS) based on dynamic triangulation principles. According to the TVS output data, fuzzy logic rules of resolution stabilization were implemented; with the aim to improve the data exchange. Modified dynamic communication network model and implemented the propagation of information with a feedback method to improve the data exchange inside the robotic group. For forming the continuous and energy-saving trajectory authors are proposing to use the two-steps post-processing method of path planning with polygon approximation. The combination of our collective TVS scans fusion and modified dynamic data exchange network forming method with adjustment of the known path planning methods can improve the robotic motion planning and navigation in unknown cluttered terrain. The authors presented the results of group effectiveness based on unique detected data, analysis of completion time, and entropy reduction results based on the size of a robot group.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129768111","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

Deep Learning Pipeline for State-of-Health Classification of Electromagnetic Relays 电磁继电器健康状态分类的深度学习管道

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576278

Lucas Kirschbaum, D. Roman, V. Robu, D. Flynn

{"title":"Deep Learning Pipeline for State-of-Health Classification of Electromagnetic Relays","authors":"Lucas Kirschbaum, D. Roman, V. Robu, D. Flynn","doi":"10.1109/ISIE45552.2021.9576278","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576278","url":null,"abstract":"Industrial-scale component maintenance is shifting towards novel Predictive Maintenance (PdM) strategies supported by Big Data Analytics (BDA). This has resulted in an increased effort to implement Artificial Intelligence (AI) decision making into new maintenance paradigms. The transition of AI into industry faces significant challenges due to the inherent complexities of industrial operations, such as variability in components due to manufacturing, integration, dynamic operating environments and variable loading conditions. Therefore, AI in critical industrial systems requires more advanced capabilities such as robustness, scalability and verifiability. This paper presents the first Deep Learning (DL) based strategy for the classification of the State-Of-Health (SOH) of Electromagnetic Relays (EMR). The DL strategy scales with high-volumes of multivariate time-series data whilst automating labour intensive feature extraction requirements. The method proposed in our paper, combines a Convolutional-Auto-Encoder (CAE) with a Temporal Convolutional Neural Network (TCN), referred to as EMR-SOH CAE- TCN pipeline. Model uncertainty and SOH confidence bounds are approximated by Monte-Carlo dropout. Our pipeline is trained and evaluated on data generated from EMR life-cycle tests. We report a high classification accuracy and discriminatory power of the EMR-SOH classifier. The findings from our paper demonstrate the potential of AI pipelines for maintenance decision making of components in critical applications, providing a transferable AI based PdM solution that scales with large data quantities.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129689562","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

Research and Development of MEMS Turbine Generator for Miniature Organic Rankine Cycle System 微型有机朗肯循环系统用MEMS涡轮发电机的研究与开发

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576264

M. Kaneko, Yuya Kobayashi, Kenji Takeda, Megumi Aibara, Katsuyuki Tanaka, F. Uchikoba

{"title":"Research and Development of MEMS Turbine Generator for Miniature Organic Rankine Cycle System","authors":"M. Kaneko, Yuya Kobayashi, Kenji Takeda, Megumi Aibara, Katsuyuki Tanaka, F. Uchikoba","doi":"10.1109/ISIE45552.2021.9576264","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576264","url":null,"abstract":"This paper proposes miniature turbine structures that are aimed for a miniature Rankine cycle generator. For the IoT (Internet of Things) society, maintenance free, and miniaturized power source is demanded. Among several candidate, we have researched miniature power generators that transform an environmental wasting energy into electrical power. In order to get a high power, Rankine cycle generator that using an electromagnetic induction type is employed conventionally. However, the size is much larger than the IoT device. For this purpose, we developed IoT size miniature Rankine cycle generator. To realize the miniature Rankine cycle structure, MEMS (Micro Electro Mechanical Systems) processes and organic Rankine cycle systems using a low boiling point material have been applied. In this paper, combinations of the miniature turbine and a 3-dimensional flow path that is the part of the organic Rankine cycle system are designed and fabricated by the MEMS process. Dimensions of the MEMS structure were 11.26 mm, 10.33 mm, 7.96 mm. It showed a rotational motion by the low boiling point material, and the maximum speed was 76,923 rpm at 355 K and 0.3 MPa. Moreover, the output fluid changed from the gas phase to gas-liquid two-phase.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130346994","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: 1

Apple Trees Diseases Detection Through Computer Vision in Embedded Systems 嵌入式系统中基于计算机视觉的苹果树病害检测

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576438

D. Logashov, Dmitrii G. Shadrin, A. Somov, M. Pukalchik, A. Uryasheva, Hari Prabhat Gupta, N. Rodichenko

引用次数: 2

Behavioural Intrusion Detection for Wireless Sensor Networks 无线传感器网络行为入侵检测

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576349

A. Smith, T. D. Ramotsoela, G. Hancke

引用次数: 1

A Novel Framework of CNN for Image Super-Resolution Based on Attention Module 一种基于注意力模块的CNN图像超分辨率新框架

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576265

J. Tan, H. Mukaidani

引用次数: 0

Deploying Smart Micro Grids for Researchers: a Practical Approach 为研究人员部署智能微电网:一种实用的方法

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576396

M. Abid, D. Benhaddou

{"title":"Deploying Smart Micro Grids for Researchers: a Practical Approach","authors":"M. Abid, D. Benhaddou","doi":"10.1109/ISIE45552.2021.9576396","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576396","url":null,"abstract":"Smart Grids (SG) are emerging as a very promising technology to cope with the increasing stochastic demand on energy, the rapid introduction of distributed renewables, and the expected large-scale adoption of electrical vehicles (EVs). Micro Grids (MG) constitute the building blocks of SG. Spanning small geographic areas, MGs are leveraging modularity and thus reducing the complexity of SG. The main challenge in SG is the real-time tracking and dissemination of electricity consumption/production data. This data falls within the realm of Big Data and needs to be processed in real-time in order to generate appropriate control actions and to monitor the stochastic Demand Response (DR) variance. To do so, we need to call upon a mixture of ICTs (Information and Communication Technologies), e.g., Networking, HPC, Big Data processing and analytics, Machine Learning, Control theory, Context-Awareness, etc. In this paper, and based on a real-world testbed deployment, we present the practical rudiments of deploying a real-world MG in a university campus. We mainly address ICT related aspects. As a first milestone, we integrated Renewable energy into a Smart Building and set the appropriate ICTs towards a full MG implementation.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116500384","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

Multiposition phase triangulation for measure three-dimensional geometry of convex and extended objects 用于测量凸和扩展物体三维几何形状的多位置相位三角测量

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576223

S. Dvoynishnikov, Vitaly V. Ralhmanov, G. Bakakin, V. Meledin

引用次数: 0

Optimal Charging/Discharging Control Service for Electric Vehicles: A Case Study at University Campus 电动汽车最优充放电控制服务:以大学校园为例

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/isie45552.2021.9576294

Shabib Shahid, Saifullah Shafiq, B. Khan, M. O. Butt, A. Al-Awami

{"title":"Optimal Charging/Discharging Control Service for Electric Vehicles: A Case Study at University Campus","authors":"Shabib Shahid, Saifullah Shafiq, B. Khan, M. O. Butt, A. Al-Awami","doi":"10.1109/isie45552.2021.9576294","DOIUrl":"https://doi.org/10.1109/isie45552.2021.9576294","url":null,"abstract":"In the past few years, environmental issues have got much attention due to their adverse effects. Many governments have been providing subsidies to those who promote and utilize environment-friendly resources. Therefore, electric vehicles (EVs) have gained the significant attention and are becoming ubiquitous. However, it is a challenge for EV owners to charge their vehicles at homes unless they have enough space and proper charging arrangements. In this paper, a methodology is proposed to offer a service of workplace charging to the faculty, staff, and students at the university campus. It is considered that a distributed generator (DG) unit is being utilized by the campus along with the grid connection where the electric grid follows the time-of-use tariff. The building load is calculated based on the schedule of faculty, staff, and students as it mainly consists of the loads of offices, laboratories, and lecture rooms. The proposed approach minimizes the overall operational cost of the system by adjusting the EVs charging and discharging patterns and rates. It is important to note that the proposed methodology meets all the system as well as the EV users' constraints. Most importantly, it meets the target state-of-charge (SOC) requirement of each EV user. Simulation results show that the proposed approach helps all the EV users to charge their EVs to a desired level at a reasonable price while meeting the system overall load requirements.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126441438","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