Induction Motor Low Frequency Torque Oscillation Diagnostics Through Circuit Breaker Acquisitions
Contributo in Atti di convegno
Data di Pubblicazione:
2025
Citazione:
(2025). Induction Motor Low Frequency Torque Oscillation Diagnostics Through Circuit Breaker Acquisitions . Retrieved from https://hdl.handle.net/10446/309806
Abstract:
Insights on the diagnostics of load oscillations in induction motors are presented in this work, where the torque
anomalies are detected analyzing both current and voltage signals acquired through a smart circuit breaker meant for protection purposes. Featuring high sampling frequency and enough acquisition time, the spectra obtained from the protection device measurements is accurate enough to highlight the characteristic harmonics occurring in load condition. The Low Frequency Oscillation Torque (LFTO) anomaly is then
investigated at different frequencies and shapes, and the resulting spectra are examined seeking for specific patterns. Considering the voltage spectrum, a characteristic pattern is identified when LFTOs take place. This finding proves the promising diagnostic capability of the circuit breakers' latest generation.
anomalies are detected analyzing both current and voltage signals acquired through a smart circuit breaker meant for protection purposes. Featuring high sampling frequency and enough acquisition time, the spectra obtained from the protection device measurements is accurate enough to highlight the characteristic harmonics occurring in load condition. The Low Frequency Oscillation Torque (LFTO) anomaly is then
investigated at different frequencies and shapes, and the resulting spectra are examined seeking for specific patterns. Considering the voltage spectrum, a characteristic pattern is identified when LFTOs take place. This finding proves the promising diagnostic capability of the circuit breakers' latest generation.
Tipologia CRIS:
1.4.01 Contributi in atti di convegno - Conference presentations
Elenco autori:
Minervini, Marcello; Mantione, Lorenzo; Frosini, Lucia; Giangrande, Paolo; Muzio, Francesca
Link alla scheda completa:
Titolo del libro:
Proceedings of the 15th International 2025 IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)