Novelty Detection in Power Quality Signals with Surrogates: a Time-Frequency Technique.
Eder B. KapischLuciano M. A. FilhoLeandro R. M. SilvaCarlos Augusto DuquePublished in: IWSSIP (2020)
Keyphrases
- novelty detection
- power quality disturbance
- signal processing
- power quality
- wavelet transform
- power system
- electric power
- decision trees
- text filtering
- power supply
- single phase
- anomaly detection
- short time fourier transform
- pattern recognition
- concept drift
- binary gravitational search algorithm
- instantaneous frequency
- subband
- image processing
- text mining
- multiscale
- computer vision
- neural network
- multiresolution
- training data
- computational intelligence
- training set
- reinforcement learning
- data mining