KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Settings

Author: search.filters.author.Kunakorn, A.Subject: search.filters.subject.Discrete Wavelet Transform

Search Results

Now showing 1 - 3 of 3
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Item,
    Analysis of characteristics of simultaneous faults in electrical power systems using wavelet transform
    (2008-12-01)
    Ngaopitakkul, A.
    ;
    Pongchaisrikul, W.
    ;
    Kunakorn, A.
    This paper presents an algorithm used in the analysis of simultaneous fault characteristics. The system under investigations is the 500-kV transmission network in Thailand. The analysis is performed using PSCAD/EMTDC and MATLAB/Simulink. Wavelet transform is used in order to detect high frequency components of the fault current signals. The characteristics of the fault current with various fault inception angles, fault locations and faulty phases are observed. It is found that the technique proposed in this paper gives satisfactory results in the simultaneous fault classification. © 2008 IEEE.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Item,
    Identification of fault types for a three-bus transmission network using Discrete Wavelet Transform and probabilistic neural networks
    (2007-12-01)
    Patcharoen, T.
    ;
    Ngaopitakkul, A.
    ;
    Kunakorn, A.
    This paper proposes a new algorithm for detecting faults in an electric power transmission network system. The Discrete Wavelet Transform (DWT) and probabilistic neural network (PNN) are used in order to detect the high frequency components and to identify fault types on a three-bus transmission network with a loop structure. Simulations and the training process for the neural network are performed using PSCAD/EMTDC and MATLAB. It is found that the proposed algorithm gives satisfactory results, and will be very useful in the development of a modern protection scheme for electrical power transmission network systems. © 2007 RPS.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Item,
    Discrimination between external short circuits and internal faults in transformer windings using discrete wavelet transforms
    (2005-12-01)
    Ngaopitakkul, A.
    ;
    Kunakorn, A.
    ;
    Ngamroo, I.
    In this paper, a technique for separation between internal faults in a two-winding three-phase transformer and external short circuits is presented. The fault detection algorithm is constructed on the basis of coefficient comparison from signals decomposed from Discrete Wavelet Transform. Computer simulations are performed using ATP/EMTP as well as MATLAB/Simulink. Various cases and fault types are studied to verify the validity of the algorithm. It is found that the proposed method gives a satisfactory accuracy, and will be particularly useful in a development of a modern differential relay for a transformer protection scheme. © 2005 IEEE.