vibration
Letter_Vibration_Interference_Video_Dataset
Dataset Card for Letter Vibration Interference Video Data
Dataset Summary
This dataset is collected using a 1920x1080 camera running at 60fps. It records the interference pattern generated by a Michelson Interferometer. The Interferometer is very sensitive to vibration, so while different vibration modes are performed, unique inference patterns are shown. We introduce vibration to the system by hand writing letters on the table which the interferometer is set up on.… See the full description on the dataset page: https://huggingface.co/datasets/TWTom/Letter_Vibration_Interference_Video_Dataset.laser-vibrations
Laser Vibrations
Dataset of laser speckle vibration recordings used to locate objects hidden inside a cardboard box.
A 10×10 grid of lasers shines on the side of a box; as loudspeakers excite the box, each laser's
speckle pattern shifts in proportion to the local surface vibration. The goal is to reconstruct the
shape and location of an object inside the box from the vibration signals alone.
Per-sample viewer metadata lives in data/metadata.jsonl.
Full signal data and media files… See the full description on the dataset page: https://huggingface.co/datasets/eturok-weizmann/laser-vibrations.minimizing_structural_vibrations
Overview
This repository contains two main datasets: a primary dataset with 51,000 plate geometries (each with 15 frequency solutions) intended for training and validation, and a test dataset with 500 geometries (each with 300 frequency solutions).
Dataset files
D50k_edited.h5: Dataset with 51,000 plate geometries and numerical solutions for 15 frequencies in [1, 300] Hz.
D500_edit.h5: Dataset with 500 plate geometries and numerical solutions for 300 frequencies… See the full description on the dataset page: https://huggingface.co/datasets/JanvDelden/minimizing_structural_vibrations.rotaguard-vibration-rul-features
RotaGuard Vibration + RUL Features
Feature-engineered vibration (bearing fault) and turbofan-degradation (RUL analog) tables, plus a synthetic
multi-asset fleet snapshot, packaged by Aria AI for the RotaGuard predictive-maintenance demo.
Data honesty
vibration_features.parquet is derived from real accelerometer recordings (CWRU Bearing Data
Center) — not synthetic — but from a generic motor-bearing test rig, not an in-situ oil & gas pump/compressor.… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/rotaguard-vibration-rul-features.vibration-databygheart-sft-v3-mega