A Deep Learning Approach for the Detection and Classification of Power Quality Disturbances with Windowed Signals.
Wilson Leal Rodrigues JuniorFábbio Anderson Silva BorgesAntonio Oseas de Carvalho FilhoRicardo de A. L. RabeloPublished in: SN Comput. Sci. (2021)
Keyphrases
- power quality disturbance
- deep learning
- decision trees
- signal processing
- wavelet transform
- unsupervised learning
- power quality
- machine learning
- probabilistic neural network
- restricted boltzmann machine
- image classification
- power system
- object detection
- supervised learning
- pattern recognition
- feature vectors
- feature space
- text classification
- support vector
- feature selection
- unsupervised feature learning
- neural network
- electric power
- image processing
- pattern classification
- support vector machine