2019 IEEE International Conference on Industrial Technology (ICIT)最新文献_第9页

Modified High Voltage Gain Soft-Switched Quasi-Switched Boost Inverter 改进的高压增益软开关准开关升压逆变器

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755041

Farhad Abbasi Aghdam Meinagh, E. Babaei, D. Vinnikov, A. Chub

引用次数: 2

Product design with integrated holistic validation of economics of metal-based 3D-printing by the help of a recommender system 在推荐系统的帮助下，产品设计与金属基3d打印的经济性集成整体验证

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8754942

R. Willmann

引用次数: 0

An Overview of Methods using Reduced-Ordered Transformation Matrices for Fault-Tolerant Control of 5-phase Machines with an Open Phase 基于降序变换矩阵的开相位五相机容错控制方法综述

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755106

Duc Tan Vu, N. Nguyen, É. Semail

引用次数: 4

Reconfigurable RISC-V Secure Processor And SoC Integration 可重构的RISC-V安全处理器和SoC集成

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755206

Zhenya Zang, Yao Liu, R. Cheung

引用次数: 6

Error Analysis of An Accurate Bipolar Voltage Measurement Circuit for Online Health Monitoring of IGBTs 用于igbt在线健康监测的精确双极电压测量电路误差分析

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8754953

P. Deshmukh, Abhinav Arya, S. Anand

{"title":"Error Analysis of An Accurate Bipolar Voltage Measurement Circuit for Online Health Monitoring of IGBTs","authors":"P. Deshmukh, Abhinav Arya, S. Anand","doi":"10.1109/ICIT.2019.8754953","DOIUrl":"https://doi.org/10.1109/ICIT.2019.8754953","url":null,"abstract":"On-state voltage is predominantly used in the health monitoring of the IGBT. In this paper, fast, accurate and online on-state voltage measurement circuit is suggested for an IGBT. The circuit is capable of measuring positive on-state collector-emitter voltage (VCE–ON) and negative forward voltage (VF) of anti-parallel diode. The measurement circuit offers the scaling/shifting of the on-state voltage, which facilitates direct connection of Analog to Digital (ADC), to monitor the voltage in digital controllers. The key advantage of the suggested circuit is that the overall measurement error is about ± 0.111%, which is below the allowable error limits (± 0.33%) for condition monitoring of the IGBT. A flexible voltage clamping is provided, during OFF state of device, to minimize the error in the measurement. Different possible errors in the measurement are due to, i) resistor mismatch, ii) diode voltages mismatch, and iii) ADC quantisation and opamp. The detailed analysis of the mentioned errors is presented in this paper. Simulation and experimental validation of suggested circuit is carried out and results are also compared with previously reported measurement circuits.","PeriodicalId":6701,"journal":{"name":"2019 IEEE International Conference on Industrial Technology (ICIT)","volume":"124 1","pages":"434-439"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87987805","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: 6

Optimal Reactive Power Dispatch Considering Reactive Power Support from Renewable Energy Generators 考虑可再生能源发电机组无功支持的最优无功调度

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755132

Md. Nazmul Islam Sarkar, Lasantha Gunaruwan Meegahapola, M. Datta

引用次数: 1

Practical Formation Tracking of Networked Underactuated Vehicles on Group SE(3) 网络欠驱动车辆在SE组(3)上的实际编队跟踪

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8754969

Ming‐Feng Ge, Leimin Wang, Xiao-Wen Zhao, Zhiwei Liu, Dandan Hu

引用次数: 0

Routing Graph Management for Mobility Support in Industrial Wireless Sensor Networks 工业无线传感器网络中支持移动性的路由图管理

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755170

Sangdae Kim, Cheonyong Kim, Hyunchong Cho, Taehun Yang, Sang-Ha Kim, Kwansoo Jung

{"title":"Routing Graph Management for Mobility Support in Industrial Wireless Sensor Networks","authors":"Sangdae Kim, Cheonyong Kim, Hyunchong Cho, Taehun Yang, Sang-Ha Kim, Kwansoo Jung","doi":"10.1109/ICIT.2019.8755170","DOIUrl":"https://doi.org/10.1109/ICIT.2019.8755170","url":null,"abstract":"The Industrial Wireless Sensor Networks (IWSNs) have been exploited in various industrial applications in order to improve the productivity and reduce the cost. Recently, today’s diverse industrial fields such as manufacturing, automotive and logistics demand the cooperation of both the static nodes and mobile nodes in order to foster better efficient industrial environment. However, the existing industrial wireless sensor networks standards have been focused on the network where consist of the static nodes only. Thus, the performance of the current standards would be reduced in the environments with mobile nodes. The movement of the mobile node causes the network changes and a path related to the mobile node would be disconnected until the network adapts to the changes. This phenomenon leads to loss of the data and the command, finally, it brings about a critical problem in the industrial environment where requires high-reliability and high-exactitude. To solve the problem, we propose the routing graph construction for minimizing of the network changes from the mobile nodes. The proposed method constructs the graph by distinguishing between the static node and the mobile node. To construct the graph, a skeleton graph constructed consists of the static nodes, and the mobile nodes are grafted on the graph. This is achieved that minimizing the effect of the network change and reduce the number of the disconnected path. The proposed method could be adapted to the various standards which exploit the graph for the routing. In this paper, we adapt the proposed method to the WirelessHART standard. Through the simulation result, we verify that the proposed method would reduce the damage of the network changes from the mobile node rather than the current WirelessHART standard.","PeriodicalId":6701,"journal":{"name":"2019 IEEE International Conference on Industrial Technology (ICIT)","volume":"56 1","pages":"963-968"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87728765","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

A Study on Machine Learning and Artificial Intelligence Methods in Detecting the Minor Outer-Raceway Bearing Fault 外滚道轴承轻微故障检测的机器学习和人工智能方法研究

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755191

S. E. Pandarakone, S. Gunasekaran, Keisuke Asano, Y. Mizuno, Hisahide Nakamura

{"title":"A Study on Machine Learning and Artificial Intelligence Methods in Detecting the Minor Outer-Raceway Bearing Fault","authors":"S. E. Pandarakone, S. Gunasekaran, Keisuke Asano, Y. Mizuno, Hisahide Nakamura","doi":"10.1109/ICIT.2019.8755191","DOIUrl":"https://doi.org/10.1109/ICIT.2019.8755191","url":null,"abstract":"To increase the reliability of induction motor (IM), several techniques have been proposed in condition monitoring and fault diagnosis. Bearings are the most sensitive part of IM, and fault occurring must be considered. In industry, scratch seems the most frequently occurring fault in bearing, and only few researches have encountered this issue. This paper is motivated by considering hole and scratch as faulty factor. A fast Fourier transform analysis is carried out, the features are extracted and used for training the diagnostic algorithm. Two types of diagnosis methods are proposed; machine learning algorithm and artificial intelligence method (AI). Among the various machine learning algorithms, Support Vector Machine (SVM) is selected because of its superiority over the data preprocessing. Deep Learning Algorithm (DL) is selected in case of AI because of its intrinsic property over feature learning. A Convolutional Neural Network (CNN) architecture is originally used for fault characterization. The advantage of both the diagnosis methods and the possibility in detecting the minor bearing faults are discussed. Finally, effectiveness of the proposed methods is validated based on the experimental and diagnosis results.","PeriodicalId":6701,"journal":{"name":"2019 IEEE International Conference on Industrial Technology (ICIT)","volume":"30 1 1","pages":"994-999"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85527391","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: 6

Autonomous Mobile Robot Exploration in Unknown Indoor Environments Based on Rapidly-exploring Random Tree 基于快速探索随机树的未知室内环境自主移动机器人探索

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8754938

Cheng-Yan Wu, H. Lin

引用次数: 11