An Extremely Close Vibration Frequency Signal Recognition Using Deep Neural Networks
This study proposes the utilization of an optical fiber vibration sensor for detecting the
superposition of extremely close frequencies in vibration signals. Integration of deep neural …
superposition of extremely close frequencies in vibration signals. Integration of deep neural …
Broken Rotor Bar Detection in AC Induction Motors using Cascaded Flux-Current State Observer
JA Choi, JS Lee, Y Kim, S Kim… - 2024 IEEE Applied Power …, 2024 - ieeexplore.ieee.org
This paper proposes a broken rotor bar fault detection method in AC induction motors using
a cascaded flux linkage and stator current observer. The proposed observer-based …
a cascaded flux linkage and stator current observer. The proposed observer-based …
Ensemble learning-based diagnosis of inverter faults and grid anomalies in grid-connected PV systems
S Bensaoucha, A Teta - Studies in Engineering and …, 2024 - ojs.studiespublicacoes.com.br
The increasing reliance on grid-connected photovoltaic (PV) systems for sustainable energy
underscores the need for effective fault diagnosis to ensure system reliability and …
underscores the need for effective fault diagnosis to ensure system reliability and …