Fast-Fourier-Transform Enhanced Progressive Singular-Value-Decomposition Algorithm in Double Diagnostic Window Frame for Weak Arc Fault Detection

Abstract

In this study, a novel method that progressively applies the fastest form of singular-value decomposition (SVD) to extract nonperiodic arc-fault features is proposed in order to pursue a competent solution for AC weak arc fault detection. First, bus-current signals of the normal state and the arc-fault state are collected and normalized before being processed by progressive SVD (PSVD) to detect the discrepancy brought by comparatively stronger arc-fault nonperiodic components expressed in singular values. To provide a more comprehensive feature extraction for an enhanced accuracy, the fast Fourier transform (FFT) is incorporated for accumulating periodic variations caused by arc faults. Because weak arc faults are difficult to distinguish from normal signals when they start, a double diagnostic window frame (DDWF) is designed to reduce false negative errors. The effectiveness of each partial design of the method is verified by experiments with numerous load types and current amplitudes conducted on an industrial experimental platform. The proposed PSVD-FFT algorithm has achieved a satisfactory and consistent performance measured by both the detection accuracy and diagnosis time in all of the experiments. The proposed method is on average at least 10% more accurate than the selected methods for a parallel comparison (in total more than a thousand experimental cases), with a satisfactory range of execution time.INDEX TERMS Arc fault, singular value decomposition (SVD), fast Fourier transform (FFT), support vector machine (SVM).

Comparative Fault Detection Between DWT and STFT in Overcurrent Relays

“…Next, Fourier transformation (FT) [7] and Short-time Fourier Transform (STFT) [8] were popularly used later in the past. However, due to the disadvantage of slower processing, Fast-Fourier-Transform (FFT) [9] was developed.…”

“…Therefore, the method presented in literature no.30 was applied with our experimental setup signal and the result shown in Table. 7.…”

Behaviour analysis of H‐bridge high‐voltage capacitor banks fault on 230‐kV substation using discrete wavelet transform

“…Several studies have investigated different aspects of fault occurrence events in power systems, namely, the equipment part [1,2], improved efficiency of the power system [3]. Moreover, some papers have presented novel methods like the fast Fourier transform (FFT) [4], discrete wavelet transform (DWT) [5], fuzzy logic [6,7] etc. to solve the issues associated with these events.…”

“…According to the result of literatures reviewed [1–22], it is found that previous research mostly focused on low‐voltage capacitor bank, in which a capacitor unit was less than 20 units. Meanwhile, there is rarely research that focused on high‐voltage capacitor bank, in which capacitor units connected inside the bank were more than 100 units.…”