Feature Extraction Using Discrete Wavelet Transform and Zero Sequence Current for Multi-Layer Perceptron Based Fault Classification

Khoirudin ; Irfan ; Sri Arttini Dwi Prasetyowati
International Journal of Engineering and Applied S... 📅 2025 Vol 2, No 4 🔗 DOI: 10.70062/greenengineering.v2i4.239
Abstract
Application of Multi-Layer Perceptron neural network to fault classification in high-voltage transmission lines is demonstrated in this paper. Different fault types on protected transmission line should be detected and classified rapidly and correctly. This paper presents the use of Discrete Wavelet Transform energy features combined with zero sequence current magnitude as input features for neural network classifier. The proposed method uses eight extracted features to learn hidden relationship in fault signal patterns. Using proposed approach, fault detection and classification of all 11 fault types could be achieved with high accuracy. Improved performance is experienced once the neural network is trained sufficiently with 1188 fault samples, thus performing correctly when faced with different system conditions. Results of performance studies show that proposed neural network-based classifier achieves 96.18% average accuracy, which demonstrates that it can improve the performance of conventional fault classification algorithms, which in turn can provide more efficient solutions in the management and protection of high voltage electrical systems.
Keywords
Discrete Wavelet Transform; Fault Classification; Multi-Layer Perceptron; Neural Networks; Power System Protection
How to Cite

Khoirudin, et al. (2025). Feature Extraction Using Discrete Wavelet Transform and Zero Sequence Current for Multi-Layer Perceptron Based Fault Classification. International Journal of Engineering and Applied Science, 2(4). https://doi.org/10.70062/greenengineering.v2i4.239

Khoirudin, Irfan; Sri Arttini Dwi Prasetyowati, "Feature Extraction Using Discrete Wavelet Transform and Zero Sequence Current for Multi-Layer Perceptron Based Fault Classification," International Journal of Engineering and Applied Science, vol. 2, no. 4, 2025.

Khoirudin, Irfan; Sri Arttini Dwi Prasetyowati. "Feature Extraction Using Discrete Wavelet Transform and Zero Sequence Current for Multi-Layer Perceptron Based Fault Classification." International Journal of Engineering and Applied Science, vol. 2, no. 4, 2025.

Khoirudin, Irfan; Sri Arttini Dwi Prasetyowati. "Feature Extraction Using Discrete Wavelet Transform and Zero Sequence Current for Multi-Layer Perceptron Based Fault Classification." International Journal of Engineering and Applied Science 2, no. 4 (2025).

Khoirudin, et al. (2025) 'Feature Extraction Using Discrete Wavelet Transform and Zero Sequence Current for Multi-Layer Perceptron Based Fault Classification', International Journal of Engineering and Applied Science, 2(4). doi: 10.70062/greenengineering.v2i4.239.

Khoirudin, Irfan; Sri Arttini Dwi Prasetyowati. Feature Extraction Using Discrete Wavelet Transform and Zero Sequence Current for Multi-Layer Perceptron Based Fault Classification. International Journal of Engineering and Applied Science. 2025;2(4).

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