Wavelet-based data compression of power system disturbances using the minimum description length criterion

Hamid, Effrina Yanti; Kawasaki, Zen‐Ichiro

doi:10.1109/61.997918

Cited by 155 publications

(73 citation statements)

References 9 publications

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“…The proposed technique is tested on the model of a 3-, 315-MVA, 400/220-kV, 50-Hz core-type Y-Δ power transformer [20]. The 400kVA power transformer is configured as a step-down transformer; its configuration is shown in Fig.…”

Section: Fig 4 Configuration Ofpower Transformermentioning

confidence: 99%

Recognition of Power Transformer faults using Wavelet based Neural Networks

ram¹

2017

IOSR JEN

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Abstract-Recognition of Power-Transformer Protection is a veryimportant task for the power system operation. In this work, a hybrid of wavelet transform and neural network (WNN) approach is introduced for PTP (PowerTransformer Protection) events classification.The PT(Power Transformer) waveform is first decomposed by four levels Daubechies-4(db4) waveletanalysis and the decomposed waveforms then be processed by the NN for PTP event classification. (4) By utilizing the WNN, the PTP event recognition system can be implemented with minimum neurons and produces maximum attainment. Furthermore, this technique can accommodate maximum training patterns automaticallyreconsider the ANN system. The proposed approach is implemented in a simulation program to verify the validation and classification accuracy.

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Section: Fig 4 Configuration Ofpower Transformermentioning

confidence: 99%

Recognition of Power Transformer faults using Wavelet based Neural Networks

ram¹

2017

IOSR JEN

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“…Different methods are available in the literature, but the minimum description length (MDL) data criterion is best suited to select the best wavelet function [14]. According to the MDL criterion, the best model within the group model of models will have the shortest description of the data model itself.…”

Section: Optimum Wavelet Function and Level Of Decompositionmentioning

confidence: 99%

“…According to the MDL criterion, the best model within the group model of models will have the shortest description of the data model itself. The MDL criterion can be defined as [14]: The number of coefficients k, for which the MDL criterion gives the minimum value is considered to be the optimum one. In proposed studies, all of the wavelets which are available in the simulation tool are tested using the MDL criterion to select the best suitable wavelet.…”

Section: Optimum Wavelet Function and Level Of Decompositionmentioning

confidence: 99%

Novel Wavelet-Fuzzy Based Indirect Field Oriented Control of Induction Motor Drives

Daya¹,

Subbiah²,

Iqbal³

et al. 2013

Journal of Power Electronics

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This paper presents a wavelet-fuzzy based controller for indirect field oriented control of three-phase induction motor drives. The discrete wavelet transform is used to decompose the error between the actual speed and the command speed of the induction motor drive into different frequency components. The transformed error coefficients along with the scaling gains are used for generating the control component of the motor. Self-tuning fuzzy logic is used for online tuning of the scaling gains of the controller. The proposed controller has the ability to meet the speed tracking requirements in the closed loop system. The complete indirect field oriented control scheme incorporating the proposed wavelet-fuzzy based controller is investigated theoretically and simulated under various dynamic operating conditions. The simulation results are compared with a conventional proportional integral controller and a fuzzy based controller. The speed control scheme incorporating the proposed controller is implemented in real time using a digital processor control board. Simulation and experimental results validate the effectiveness of the proposed controller.

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“…The optimal number of WT coefficients to be retained for signal reconstruction and can be mathematically expressed as below [19]: Daubechies is selected for implementing the IFOC speed controller for this investigation study.…”

Section: Selection Of Wavelet Functionmentioning

confidence: 99%

“…Decomposition begins when a discrete signal '( ) of length N is passed through a high pass filter, resulting in an impulse response *( ) and through a low pass filter results in impulse response+( ). A 1-level decomposition of DWT is constituted by the outputs of high and low pass filter and mathematically expressed as below [10][11][12][13][14][19][20]:…”

Section: Introductionmentioning

confidence: 99%