Control Scheme of a Series Active Power Filter
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Updated
Aug 14, 2019 - C
Control Scheme of a Series Active Power Filter
Code for the concept paper presenting physics-aware neural networks for power quality state estimation
PyTorch-based multiclass power quality fault detection using engineered electrical features and neural network classification.
MATLAB/Simulink project for harmonic mitigation and power quality enhancement in AC electric traction systems using 3rd, 5th, and 7th tuned passive harmonic filters.
Unified Namespace IIoT platform (ISA-95 L0-L4). Two layers: edge-ML condition monitoring (NASA IMS bearings, FFT + Isolation Forest on Raspberry Pi) and an Energy Intelligence Layer (SENTRON Modbus emulator, Sparkplug B, TimescaleDB, Grafana, harmonic-aware PFC monitoring). Stack: Node-RED, HiveMQ, Ignition, AWS IoT.
Deep Learning based Power Quality Disturbance Detection and Classification using STFT and CNN.
Open-source parser, event detector, and chart generator for Fluke 3540 FC three-phase power logger sessions (trend.bin / .fel). Web app + Python CLI. Linux/macOS/Windows. Drop-in replacement for Fluke Energy Analyze Plus exports.
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