2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)最新文献_第2页

Flexible Power point Tracking of Photovoltaic System by Power Limiting Control 基于限电控制的光伏系统柔性功率点跟踪

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI: 10.1109/PARC52418.2022.9726609

E. S. Reddy, C. Chengaiah

引用次数: 0

Deep Learning Binary-Classification Model for Casting Products Inspection 铸造产品检测的深度学习二分类模型

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI: 10.1109/PARC52418.2022.9726590

Faraz Omar, Hashir Sohrab, Mohammad Saad, Arsalan Hameed, F. I. Bakhsh

{"title":"Deep Learning Binary-Classification Model for Casting Products Inspection","authors":"Faraz Omar, Hashir Sohrab, Mohammad Saad, Arsalan Hameed, F. I. Bakhsh","doi":"10.1109/PARC52418.2022.9726590","DOIUrl":"https://doi.org/10.1109/PARC52418.2022.9726590","url":null,"abstract":"It is imperative for a manufacturing process to not only have a quality assurance system, but that system should also be a very efficient one. While conventional methods have always involved the human element in quality control, their inefficiency and economic liability have always been a cause of concern. An Image Classification inspection system has the capability of minimizing cost factors and can also provide a near-perfect efficient quality check. This paper focuses on developing Convolutional Neural Network (CNN) architecture to scrutinize defects in casting products. The CNN is trained with a dataset of grey-scaled images of top-view of a casted submersible pump impeller, and the trained model gives a very encouraging result in detecting various surface manufacturing defects and ultimately classifies the input image of the casted products manufactured as acceptable or unacceptable for a quality check process. A comparative study has also been done with a pretrained Xception model to analyze the performance of results achieved by our proposed model","PeriodicalId":158896,"journal":{"name":"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130290705","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

Review on Various Signal Processing Techniques for Predictive Maintenance 预测维修中各种信号处理技术综述

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI: 10.1109/PARC52418.2022.9726618

E. Babu, J. Francis, Esther Thomas, Rahul Cherian, Sudarsana S Sunandhan

{"title":"Review on Various Signal Processing Techniques for Predictive Maintenance","authors":"E. Babu, J. Francis, Esther Thomas, Rahul Cherian, Sudarsana S Sunandhan","doi":"10.1109/PARC52418.2022.9726618","DOIUrl":"https://doi.org/10.1109/PARC52418.2022.9726618","url":null,"abstract":"Electrical equipment is the workhorse of industry, and its failure will result in a plant’s complete shutdown. Diagnostic improvements can boost reliability or even avoid an unanticipated catastrophe. The purpose of condition monitoring (CM) is to recognize a defect or a degrading process which has reached an indicative level and to appoint a warning of the anomaly in advance of the breakdown. Faults in electrical machines can be detected with the help of condition monitoring techniques. Various parameters can be used for condition monitoring like vibration, current, sound etc. Comparison has been carried out between various signal processing techniques applicable under the parameters. Technologies such as fuzzy-logic-based systems, genetic algorithms, neural networks, wavelet method, and so on, have largely replaced human-based defect identification. Dyadic Wavelet Transformation, FFT, and Artificial Intelligence were among the techniques explored in this paper. As a result, while acknowledging the need for further study, this review study provides a bird’s-eye view on the different techniques for fault identification.","PeriodicalId":158896,"journal":{"name":"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134408547","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

Energy Balancing Capability of a Three Phase Nine-Level Inverter for Solar Water Pumping Applications 用于太阳能水泵的三相九电平逆变器的能量平衡能力

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI: 10.1109/PARC52418.2022.9726255

M. Rao, N. Karthick, A. Rao

{"title":"Energy Balancing Capability of a Three Phase Nine-Level Inverter for Solar Water Pumping Applications","authors":"M. Rao, N. Karthick, A. Rao","doi":"10.1109/PARC52418.2022.9726255","DOIUrl":"https://doi.org/10.1109/PARC52418.2022.9726255","url":null,"abstract":"As agriculture is one of the highly respected and valued sectors of the economy of India, its level of water consumption pumped to eighty-five percent with respect to its resources. However, this factor brings us to an efficient way of energy usage. The present work is an effective presentation of the water pumping scenario with a specific eye on solar pumping application. Long lasting trait of a solar appliance and its low cost for maintenance makes it a great solution for the existing demand. Multilevel inverters have proved to be viable solutions with their reduced dv/dt stress of devices, better output quality, and minimal filter requirement. Quantity of voltage levels is directly proportional to the control complexity and device count for any conventional multilevel inverter. There is also a possibility of energy unbalance issue which obviously will affect the reliability of the system. Here, in this paper, an efficient model of a solar based water pumping system with energy balancing capability is proposed which can act as a effective replacement for the existing systems. A 3-$Phi$ nine-level inverter topology is now proposed in this paper with the issues addressed there by having a minimal device count and maximum reliability factor. 4-Isolated DC sources with magnitudes of Vdc/4 (where Vdc is the voltage requirement for the conventional NPC multilevel inverter), constitute the PV sources. Energy balancing capability during the partial shading of PV panels is specifically worked out in the proposed topology. The mathematical analysis of energy balancing between the DC sources is also presented in this paper. Using MATLAB/Simulink the energy balancing issue is analyzed in this paper.","PeriodicalId":158896,"journal":{"name":"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132844770","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

Triboelectric Nanogenerator Based on ZnO Nanosheet Networks for Mechanical Energy Harvesting 基于ZnO纳米片网络的摩擦电纳米发电机用于机械能量收集

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI: 10.1109/PARC52418.2022.9726684

P. Supraja, R. Rakesh Kumar, Siju Mishra, D. Haranath

引用次数: 0

Biorthogonal Wavelets for Multiresolution Image Compression 多分辨率图像压缩的双正交小波

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI: 10.1109/PARC52418.2022.9726558

Shubhangi Krishna, Dharmendra Kumar, V. Dwivedi

引用次数: 0

Centralize Energy Storage Scheduling for Prosumers in Residential Microgrid 住宅微电网产用户集中储能调度

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI: 10.1109/PARC52418.2022.9726643

Anita Seervi, V. Saini, Rajesh Kumar, M. A. Mahmud

引用次数: 2

Transforming Cities for Sustainability:Role of Standards on Smart City 城市可持续转型:智慧城市标准的作用

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI: 10.1109/PARC52418.2022.9726674

P. Choudhary, Partha Sarthy

{"title":"Transforming Cities for Sustainability:Role of Standards on Smart City","authors":"P. Choudhary, Partha Sarthy","doi":"10.1109/PARC52418.2022.9726674","DOIUrl":"https://doi.org/10.1109/PARC52418.2022.9726674","url":null,"abstract":"When more than 70 percent of the global GDP is being generated from fast-growing cities, chaos is parallel emerging on energy shortage, infrastructural disturbance, human quality of life, and population density. This society dynamism puts to think and act to handle the unbalance for the ultimate goal of ‘better human life.’ New principles on urban city development, implementation, and continuous monitoring are being highlighted by ‘Smart Cities,’ approach proposed to be driven by social, natural, and digital capital. Internet of Things, artificial intelligence, social sustainability, and renewable energy resources are significant determinants to achieve the concept of sustainable smart cities with the highest quality of life for humans. Cohesiveness is a significant factor for this ‘Smart’ system, and it needs a common platform to connect the global community. Thus, a connecting approach gives an insight on the ‘evolution of standards’ for smart cities, an overview of the set of principles for achieving the target. Based on the ongoing global experience, it is found that standards play an essential role in connecting communities directly with urbanization for a better life.","PeriodicalId":158896,"journal":{"name":"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)","volume":"248 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115721549","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

Design and Performance Investigation of Proposed Grid-Tied Rooftop Solar PV System 并网屋顶太阳能光伏系统的设计与性能研究

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI: 10.1109/PARC52418.2022.9726562

Bonala Rajkumar, Kamalesh Chandra Rout, P. Kulkarni

引用次数: 1

IoT Based Patient Safety Monitoring System in Hospitals 基于物联网的医院患者安全监控系统

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI: 10.1109/PARC52418.2022.9726617

T. Gunasekar, J. Karthikeyan, G. Manivannan, M. S. K. Saran, K. R. Gokul

引用次数: 3