APPLICATION OF WAVELET TRANSFORM AND MLP NEURAL NETWORK FOR FERRORESONANCE IDENTIFICATION

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MOKRIANI G.; HAGHIFAM M.R.

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Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE) Year:2009 | Volume:8 | Issue:1 Page(s): 9-15

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Information Journal Paper

Title

APPLICATION OF WAVELET TRANSFORM AND MLP NEURAL NETWORK FOR FERRORESONANCE IDENTIFICATION

Author(s)

MOKRIANI G. | HAGHIFAM M.R. | Issue Writer Certificate

Keywords

MLP NEURAL NETWORK

FERRORESONANCE

EMTP PROGRAM

WAVELET TRANSFORM

LEVENBERG–MARQUARDT ALGORITHM

Abstract

A novel method for FERRORESONANCE detection is presented in this paper. Using this method FERRORESONANCE can be discriminate from other transients such as capacitor switching, load switching, transformer switching. WAVELET TRANSFORM is used for decomposition of signals and Multi Layer Perceptron (MLP) neural network used for classification. FERRORESONANCE data and other transients are obtained by simulation using EMTP PROGRAM. Results show that the MLPNN trained with the LEVENBERG–MARQUARDT ALGORITHM is effective for discriminating FERRORESONANCE from other transients.

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APA: Copy

MOKRIANI, G., & HAGHIFAM, M.R.. (2009). APPLICATION OF WAVELET TRANSFORM AND MLP NEURAL NETWORK FOR FERRORESONANCE IDENTIFICATION. IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE), 8(1), 9-15. SID. https://sid.ir/paper/283459/en

Vancouver: Copy

MOKRIANI G., HAGHIFAM M.R.. APPLICATION OF WAVELET TRANSFORM AND MLP NEURAL NETWORK FOR FERRORESONANCE IDENTIFICATION. IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE)[Internet]. 2009;8(1):9-15. Available from: https://sid.ir/paper/283459/en

IEEE: Copy

G. MOKRIANI, and M.R. HAGHIFAM, “APPLICATION OF WAVELET TRANSFORM AND MLP NEURAL NETWORK FOR FERRORESONANCE IDENTIFICATION,” IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE), vol. 8, no. 1, pp. 9–15, 2009, [Online]. Available: https://sid.ir/paper/283459/en

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