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Volume 3 (1); Apr 2014

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PII: S232251141400001-3

Presenting a Model for Making a Comparison of Bayesian Networks and Decision Tree Algorithms in Intrusion Detection Systems-Based on Data Mining B9

Original Research, C1
Fazli-Maghsoudi H. andMomeni H.
J. World. Elect. Eng. Tech., 3(1): 01-05, 2014.

ABSTRACT: By development of information technology, network security is considered as one of the main issues and has great challenges. Intrusion detection systems are a major component of a secure network. Traditional intrusion detection systems cannot adapt themselves to the new attacks thus today's intrusion detection systems have been introduced based on data mining. Identifying patterns in large volumes of data is a great help to us. Data mining techniques by identifying a binary label (normal packet, abnormal packet) and specifying attributes by classification algorithms can recognize the abnormal data. Therefore, the precision and accuracy of intrusion detection systems will increase, thereby network security increases. In this paper, we present a proposed model that examines various decision tree algorithms and Bayesian networks on their data sets in which the results of simulation suggest that J48 algorithm has the highest precision of 85.49% for the intrusion detection system.

Key words: abnormal packet, Bayesian networks, data mining, decision tree, intrusion detection systems, normal packet.

 

 

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PII: S232251141400002-3
Performance Comprasion of STATCOM & SVC in Reactive Power Control Strategy For Wind Farm
B10

Original Research, C2
Ahmadi Kamarposhti
 M., Shaker M., Tayyebifar T., Firoozian M.

J. World. Elect. Eng. Tech.
, 3(1): 06-17, 2014.

ABSTRACT: In this paper the wind farm reactive power control strategy introduced by the STATCOM and SVC. First, the STATCOM system and its application in power systems and wind farms is shown. Second, the SVC system and its application in power systems and wind farms is shown. Then wind farm and a STATCOM and a SVC are modeled. Finally, strategies to control the reactive power delivered to the grid is shown in times of need. The results of the implementation of the control strategy are demonstrated by simulation. All results, obtained in the MATLAB software simulation.

Key words: Doubly-Fed Induction Generator (DFIG), Wind Farm, Reactive Power Control

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PII: S232251141400003-3
Performance Evaluation of Three-Phase Induction Motor Fed by unbalanced voltage Combined with Over- or Under Voltage Using Finite Element Method
B10

Original Research, C3
Ebadi A., Mirzaie M., Gholamian S.A.

J. World. Elect. Eng. Tech.
, 3(1): 18-25, 2014.

ABSTRACT: Unbalanced voltages can exist anywhere in a three-phase power distribution system. Thus, investigation of their effects on power system equipments, especially three-phase induction motors as most commonly used type of electric motors, is vital. This paper presents performance evaluation of a three-phase squirrel cage induction motor under unbalanced voltage combined with over- or undervoltage based on Finite Element Method (FEM) simulation. To achieve this purpose , number of unbalanced voltages with averages equal to 90, 100 and 110% of rated voltage is applied to FEM simulation model of the motor and its steady state operating performance has been analyzed and the resulted input/output power, losses, efficiency and torque have been discussed. The employed measure for voltage unbalance in the present work is complex voltage unbalance factor (CVUF) that consists of voltage magnitude and angle.
Key words: CVUF, Efficiency, Induction Motor, Losses, Torque, Voltage Unbalance.

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PII: S232251141400004-3
Conceptual comparison of Line-Start Permanent Magnet Synchronous ‎and Induction Machines for Line-fed of different conditions
B10

Original Research, C4
Hosseinzadeh Soreshjani M., Sadoughi A. 
J. World. Elect. Eng. Tech.
, 3(1): 26-36, 2014.

ABSTRACT: This study presents a comparative analysis of an Induction Machine (IM) and its equal Line-‎Start Permanent Magnet Synchronous Machine (LSPMSM) when they are directly connected ‎to the mains. Simulation results from MATLAB/Simulink software are presented under ‎normal and voltage sag conditions and different load torques, to provide a comprehensive ‎comparison. In addition, the effect of input frequency is evaluated. Different tests in no-load, motoring, and generating modes show a better steady-‎state response of an LSPMSM rather than its IM, if its synchronized problems could be ‎obviated.
Key words: 
Line-Start Permanent Magnet Synchronous Motor (LSPMSM), Induction Motor (IM), Line-‎fed, Voltage sag conditions.‎

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PII: S232251141400005-3
Voltage Sag Evaluation during Induction Motors Starting Using Artificial Neural Network
B10

Original Research, C5
Sadoughi A., 
Sadeghkhani I.
J. World. Elect. Eng. Tech.
, 3(1): 37-46, 2014.

ABSTRACT: One of the most important concerns in electrical systems is to deliver energy to the consumers with high power quality (PQ). Because of great importance of voltage sag among all PQ events, this paper presents evaluation of voltage sags caused by induction motors (IMs) starting. Malfunctioning or failure of sensitive loads is main effect of this phenomenon. Both depth and duration of voltage sag are evaluated in this work using artificial neural network (ANN). Both multilayer perceptron (MLP) and radial basis function (RBF) structures have been analyzed. Six learning algorithms, backpropagation (BP), delta-bar-delta (DBD), extended delta-bar-delta (EDBD), directed random search (DRS), quick propagation (QP), and levenberg marquardt (LM) were used to train the MLP. The simulation results show that proposed technique can estimate the voltage sag characteristics with good accuracy. Also, it is shown that the LM and EDBD algorithms present better performance for evaluating of voltage sag magnitude and duration.
Key words: 
Induction motors, multilayer perceptron, motor cable, radial basis function, voltage sag.

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