High-Frequency Waveforms and Continuous Power Log Data for Linear and Non-Linear Electrical Loads
Description
This dataset contains high-resolution instantaneous voltage and current measurements (sampled at 10 kHz) used to validate the "BidyutPi", a custom open-source, Raspberry Pi-based smart energy meter. The repository features two distinct types of electrical measurements captured across various linear and non-linear devices: 1. High-Frequency Waveform Data: Captured profiles include a purely resistive 330 W load, a 0.5 HP induction motor under no-load conditions, a 50 W aged ceiling fan, and an SMPS mobile charger. These files record precise electrical signatures and are ideal for harmonic distortion and wave-shape analysis. 2. Continuous Power Logging Data: Time-stamped, real-time tracking profiles capturing structural parameter calculations, including active power (W), apparent power (VA), reactive power (VAr), RMS voltage, RMS current and power factor. These logs track sustained operational runs of a 0.5 HP single-phase induction motor running under both no-load and mechanically loaded environments to demonstrate dynamic evaluation and logging consistency.