2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT)最新文献_第4页

An interleaved flyback inverter for grid connected photovoltaic systems 并网光伏系统的交错反激逆变器

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) Pub Date : 2017-04-01 DOI: 10.1109/ICCPCT.2017.8074270

M. Chewale, V. Savakhande, H. T. Jadhav

引用次数: 8

Bearing fault identification and classification with convolutional neural network 基于卷积神经网络的轴承故障识别与分类

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) Pub Date : 2017-04-01 DOI: 10.1109/ICCPCT.2017.8074401

M. Bhadane, K. I. Ramachandran

{"title":"Bearing fault identification and classification with convolutional neural network","authors":"M. Bhadane, K. I. Ramachandran","doi":"10.1109/ICCPCT.2017.8074401","DOIUrl":"https://doi.org/10.1109/ICCPCT.2017.8074401","url":null,"abstract":"Condition-based monitoring (CBM) is widely used methodology for the fault diagnosis, which provides the analysis for the safe and proper operations of any device or element. Vibration analysis is most accurate and reliable technique of CBM to reveal the condition of device or element. In this technique, fault can be diagnosed by analysing the vibration data acquired from accelerometer. Convolutional Neural Network (CNN) has emerged as one of the most widely used methodology in application of pattern recognition and acoustic data analysis. In this paper, CNN is used as back-end classifier for bearing fault detection. Vibration data is collected for three different conditions of bearings i.e. normal condition, inner race fault and outer race fault. Statistical features are extracted from vibration data and used as input to CNN classifier. Convolution filters are learned by training CNN and are used to detect the unique features for each condition of bearing. The obtained accuracy shows that CNN is very reliable and effective technique for bearing fault diagnosis. It exhibits good performance compared to peer algorithms.","PeriodicalId":208028,"journal":{"name":"2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116500902","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: 19

Effect of electrical vehicle charging on power quality 电动汽车充电对电能质量的影响

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) Pub Date : 2017-04-01 DOI: 10.1109/ICCPCT.2017.8074344

L. Nikitha, L. Anil, Abha Tripathi, S. Nagesh

引用次数: 6

Image denoising based on weighted regularized least square method 基于加权正则化最小二乘法的图像去噪

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) Pub Date : 2017-04-01 DOI: 10.1109/ICCPCT.2017.8074388

M. Srikanth, K. S. Gokul Krishnan, V. Sowmya, K. Soman

引用次数: 2

Impact of STATCOM on voltage profile in a DG penetrated grid connected system STATCOM对DG渗透并网系统电压分布的影响

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) Pub Date : 2017-04-01 DOI: 10.1109/ICCPCT.2017.8074213

Kumaresh Pal, Basanta kumar Panigrahi, Sibapriya Mohapatra, A. Mohapatra

引用次数: 3

Grid integration for electric vehicle and photovoltaic panel for a smart home 电动汽车的电网集成和智能家居的光伏板

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) Pub Date : 2017-04-01 DOI: 10.1109/ICCPCT.2017.8074358

S. Akshya, Anjali Ravindran, A. Srinidhi, Su Panda, Anu G. Kumar

{"title":"Grid integration for electric vehicle and photovoltaic panel for a smart home","authors":"S. Akshya, Anjali Ravindran, A. Srinidhi, Su Panda, Anu G. Kumar","doi":"10.1109/ICCPCT.2017.8074358","DOIUrl":"https://doi.org/10.1109/ICCPCT.2017.8074358","url":null,"abstract":"Atmospheric pollution is exponentially increasing due to excessive carbon emissions from vehicles driven by fossil fuels has encouraged the growth of Electric Vehicles. Despite the various environmental and economic benefits of Electric Vehicles, its charging will introduce enormous technical challenges on the existing network operation as the units consumed by a vehicle in a day is very high. It is almost four times that of units consumed by a typical residential load. Therefore with the penetration of Electric Vehicle into the market, power generated in India by non-renewable energy resources cannot meet the ever rising power demand of the country. The objective of this project is to implement a module which gives effective control logic for the integration of renewable energy resource and the electric vehicle with the utility. This involves a battery charging system which during off peak hours charges the battery and in peak hours supplies power to residential load. This paper also involves the study of installation of residential photovoltaic panels to the existing grid system along with Electric Vehicles. The system is made more lucrative with effective load curtailment in different day-to-day scenarios.","PeriodicalId":208028,"journal":{"name":"2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122281418","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: 13

An assay of teachers' attainmentusing decision tree based classification techniques 基于决策树分类技术的教师素养分析

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) Pub Date : 2017-04-01 DOI: 10.1109/ICCPCT.2017.8074382

R. Lawrance, V. Shanmugarajeshwari

引用次数: 9

A brief review on torque control of induction motor 感应电动机转矩控制的研究进展

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) Pub Date : 2017-04-01 DOI: 10.1109/ICCPCT.2017.8074348

Abhilasha Parthan, L. Suresh, J. Raj

引用次数: 5

Human bitting force calculating instrument 人体咬合力计算仪

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) Pub Date : 2017-04-01 DOI: 10.1109/ICCPCT.2017.8074347

Anil Kannan, B. K. John, D. S. Babu, Manoj Kumar

{"title":"Human bitting force calculating instrument","authors":"Anil Kannan, B. K. John, D. S. Babu, Manoj Kumar","doi":"10.1109/ICCPCT.2017.8074347","DOIUrl":"https://doi.org/10.1109/ICCPCT.2017.8074347","url":null,"abstract":"Bite force can be defined as the force applied by the masticatory muscles in dental occlusion. Bite force is the resultant of all the forces acting on individual teeth due to various components of the masticatory system. Knowledge of individual bite force helps dentist to understand different type of dentition, the mechanics of mastication for evaluation of the therapeutic effects of prosthetic devices and to provide reference data for studies on the biomechanics of prosthetic devices. Currently, there are direct and indirect methods to determine bite force. Direct method includes use of suitable transducers and indirect method includes use of functional relationship between bite force and physiological variables. The bite force is a function of many factors and hence difficult to compute. Although direct methods are accurate and convenient to determine individual bite force which requires sophisticated instrumentation and intervention whereas indirect methods are not accurate and require investigation of many physiological parameters. However, it is difficult to establish exact mathematical model to estimate individual bite force. This paper presents a Finite Element Analysis (FEA) based indirect method to estimate bite force. Commercial FEA software's like HyperMesh and RADIOSS are widely used in engineering and the biomedical community for diverse applications. FE model is built using 3D CAD model of jaw created using CT scan images to estimate theoretical maximum bite force as well as individual tooth load.","PeriodicalId":208028,"journal":{"name":"2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131263459","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 fine grained evaluation and mining of E-commerce feedback comments 电子商务反馈意见的细粒度评价与挖掘

2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) Pub Date : 2017-04-01 DOI: 10.1109/ICCPCT.2017.8074242

Binny Joseph, A. Beegom

引用次数: 1