Litcius/Paper detail

A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification

Hatem F. Sindi, Majid Nour, Muhyaddin Rawa, Şaban Öztürk, Kemal Polat

2021Expert Systems with Applications94 citationsDOI

Topics & Concepts

Convolutional neural networkComputer scienceArtificial intelligencePattern recognition (psychology)Deep learningArtificial neural networkClassifier (UML)Support vector machinePower Quality and HarmonicsPower Transformer Diagnostics and InsulationMagnetic Properties and Applications
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification | Litcius