Methodology for the Detection and Classification of Power Quality Disturbances Using CWT and CNN
Eduardo Perez-Anaya,
Arturo Yosimar Jaen-Cuellar,
David Alejandro Elvira-Ortiz
et al.
Abstract:Energy generation through renewable processes has represented a suitable option for power supply; nevertheless, wind generators and photovoltaic systems can suddenly operate under undesired conditions, leading to power quality problems. In this regard, the development of condition-monitoring strategies applied to the detection of power quality disturbances becomes mandatory to ensure proper working conditions of electrical machinery. Therefore, in this work we propose a diagnosis methodology for detecting powe… Show more
“…In [4], a condition monitoring strategy for the detection and identification of power quality disturbances in renewable energy generation systems is proposed. This strategy is based on the continuous wavelet transform and convolutional neural network.…”
“…In [4], a condition monitoring strategy for the detection and identification of power quality disturbances in renewable energy generation systems is proposed. This strategy is based on the continuous wavelet transform and convolutional neural network.…”
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