2012 International Conference on Power, Signals, Controls and Computation最新文献

A new algorithm to compute forward and inverse 2-D UMRT for N — A power of 2 一种计算N - A 2次幂下二维UMRT正逆的新算法

2012 International Conference on Power, Signals, Controls and Computation Pub Date : 2012-04-03 DOI: 10.1109/EPSCICON.2012.6175226

P. Basu, V. Bhadran, R. Gopikakumari

引用次数: 8

A hybrid pricing strategy for distributed generation using small hydel energy 小型水能分布式发电的混合定价策略

2012 International Conference on Power, Signals, Controls and Computation Pub Date : 2012-04-03 DOI: 10.1109/EPSCICON.2012.6175225

J. Thomas, S. Ashok

引用次数: 0

Comparison of WVD based time-frequency distributions 基于WVD时频分布的比较

2012 International Conference on Power, Signals, Controls and Computation Pub Date : 2012-04-03 DOI: 10.1109/EPSCICON.2012.6175242

M. Thomas, R. Jacob, B. Lethakumary

引用次数: 10

Conceptual design of a thermoelectric Edu-Kitchen system 热电Edu-Kitchen系统的概念设计

2012 International Conference on Power, Signals, Controls and Computation Pub Date : 2012-04-03 DOI: 10.1109/EPSCICON.2012.6175243

A. Srivastava, D. Duran, M. Pinder, V. Raghav, N. Komerath

引用次数: 2

An analysis of transient characteristics of interconnected DFIG with hydro governor synchronous generator DFIG与水轮调速器并联同步发电机的暂态特性分析

2012 International Conference on Power, Signals, Controls and Computation Pub Date : 2012-04-03 DOI: 10.1109/EPSCICON.2012.6175238

A. Ramkumar, S. Durairaj

引用次数: 3

Current controlled voltage source inverter using Hysteresis controller and PI controller 电流控制电压源逆变器采用迟滞控制器和PI控制器

2012 International Conference on Power, Signals, Controls and Computation Pub Date : 2012-04-03 DOI: 10.1109/EPSCICON.2012.6175247

A. Nachiappan, K. Sundararajan, V. Malarselvam

引用次数: 42

Modeling of STATCOM under different loading conditions 不同加载条件下STATCOM的建模

2012 International Conference on Power, Signals, Controls and Computation Pub Date : 2012-04-03 DOI: 10.1109/EPSCICON.2012.6175265

G. George, R. Rakesh, M. Kowsalya

引用次数: 4

Design and simulation of back-to-back converter for modern wind energy generation system using dSPACE 基于dSPACE的现代风力发电系统背靠背变流器设计与仿真

2012 International Conference on Power, Signals, Controls and Computation Pub Date : 2012-04-03 DOI: 10.1109/EPSCICON.2012.6175249

Mr. A. P. deshpande, Dr. B. N. Chaudhari, Dr. V. N. Pande

{"title":"Design and simulation of back-to-back converter for modern wind energy generation system using dSPACE","authors":"Mr. A. P. deshpande, Dr. B. N. Chaudhari, Dr. V. N. Pande","doi":"10.1109/EPSCICON.2012.6175249","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175249","url":null,"abstract":"This paper presents the analysis, design and simulation of a back to back converter for a modern wind energy system. In the initial stage, the study of DFIG (Doubly Fed Induction Generator) is carried out in order to have a broader understanding of the functions of the back to back converter. Then the design of back to back converter and choice of components is elaborated. The control strategy for the back to back converter is described with equations and the snapshot of the theoretical scheme and scheme implemented in the real life situation are both shown. The control strategy for the grid-side and rotor-side converter is thoroughly elaborated. The implementation of control strategy is done with the help of dSPACE. Being a very new technology in present academic scenario, introduction regarding dSPACE has been made. The dSPACE even though offering some facilities, has some limitations. Hence, the implementation of the present scheme with dSPACE while keeping an eye on the limitation is explained. The necessary adaptation made while using the control strategy are also focused. Finally, pulses obtained from dSPACE for Grid Side Converter (GSC) and Rotor Side Converter (RSC) are shown.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122293189","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

Congestion management based on demand management and impact of GUPFC 基于需求管理和GUPFC影响的拥塞管理

2012 International Conference on Power, Signals, Controls and Computation Pub Date : 2012-04-03 DOI: 10.1109/EPSCICON.2012.6175244

A. Kumar, C. Sekhar

引用次数: 9

Towards the development of a new wavelet for ECG classification 开发一种新的心电分类小波

2012 International Conference on Power, Signals, Controls and Computation Pub Date : 2012-04-03 DOI: 10.1109/EPSCICON.2012.6175283

B. Paul, K. T. Shanavaz, P. Mythili

{"title":"Towards the development of a new wavelet for ECG classification","authors":"B. Paul, K. T. Shanavaz, P. Mythili","doi":"10.1109/EPSCICON.2012.6175283","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175283","url":null,"abstract":"In this paper an attempt has been made to determine the number of Premature Ventricular Contraction (PVC) cycles accurately from a given Electrocardiogram (ECG) using a wavelet constructed from multiple Gaussian functions. It is difficult to assess the ECGs of patients who are continuously monitored over a long period of time. Hence the proposed method of classification will be helpful to doctors to determine the severity of PVC in a patient. Principal Component Analysis (PCA) and a simple classifier have been used in addition to the specially developed wavelet transform. The proposed wavelet has been designed using multiple Gaussian functions which when summed up looks similar to that of a normal ECG. The number of Gaussians used depends on the number of peaks present in a normal ECG. The developed wavelet satisfied all the properties of a traditional continuous wavelet. The new wavelet was optimized using genetic algorithm (GA). ECG records from Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) database have been used for validation. Out of the 8694 ECG cycles used for evaluation, the classification algorithm responded with an accuracy of 97.77%. In order to compare the performance of the new wavelet, classification was also performed using the standard wavelets like morlet, meyer, bior3.9, db5, db3, sym3 and haar. The new wavelet outperforms the rest.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113934806","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: 3