Stator current signal crossing for fault diagnosis of self-excited induction generators

• DOI: 10.14311/ap.2023.63.0293
• Publication Date: 2023-11-21T09:11:17Z
• Authors: Fares Belynda; Radia Abdelli; Ahcene Bouzida
• Keywords: SIGNAL (programming language)

This paper presents a novel method for modelling and diagnosis of electrical mechanical faults in fixed-Speed Self-Excited Induction Generators (SEIGs) operating autonomous mode small-scale wind energy system. The proposed is validated using the finite element method. After selection magnetising capacitors, self-excitation process performed under no-load conditions. Once stator voltage established, symmetrical three-phase load connected. fault detection introduced here called Stator Current Signal Crossing (SCSC). SCSC extracts new signal from currents, that enables inter turn shortcircuits, broken rotor bars, dynamic eccentricity SEIGs. A spectral analysis Fast Fourier Transform (FFT) algorithm used to precisely locate induced components. What sets this fault-tracking apart its predecessors exceptional ability detect any magnitude by analysing modulation signal. These are directly identified presence distinct harmonics, each indicative specific type fault. study also focuses on SEIG system, whereas previous works have mainly addressed induction machine motor mode. In contrast, methods involved single current isolating harmonics wide frequency range. effectiveness illustrated simulation results analysis.