"Industrial Sensor Time-Series with Operational Event Labels for Digital Twin Research"
Abstract
"This dataset provides multivariate industrial sensor time series for digital twin research, featuring temperature, vibration, pressure, operational hours, efficiency index, system state, and performance score. Each sequence includes labeled operational events such as threshold violations, maintenance patterns, state transitions, and interaction deviations. The data support anomaly detection, adaptive control, explainable reasoning, and reinforcement learning studies. It is suitable for benchmarking neuro-symbolic and human-interpretable digital twin methods in industrial environments worldwide."
Fields of Study & Subjects
Digital Transformation in Industry
Fault Detection and Control Systems
Time Series Analysis and Forecasting
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 18 January 2026
- Document type
- Dataset