Degradation trajectories, vibration zones, bearing temperature, current, and RUL-oriented fields
Synthetic predictive maintenance datasets for condition monitoring
Predictive Maintenance records provide time-series signals for degradation, vibration, bearing temperature, electrical current, and remaining-useful-life research workflows.
Research scope
The records support modelling experiments and teaching. They do not represent a calibrated copy of a specific industrial fleet or machine installation.
Synthetic condition-monitoring data for anomaly detection and reliability studies
Browse Predictive Maintenance generated records
Each card links to the original citable record. IoTSyn keeps that URL, its dataset file, and its citation guidance unchanged.
Predictive Maintenance Dataset
10,000 rows · published May 21, 2026
Open original dataset record →Predictive Maintenance Dataset
10,000 rows · published Apr 6, 2026
Open original dataset record →Predictive Maintenance Dataset
100 rows · published Apr 4, 2026
Open original dataset record →Predictive Maintenance Dataset
1,000 rows · published Apr 4, 2026
Open original dataset record →Predictive Maintenance Dataset
100 rows · published Mar 23, 2026
Open original dataset record →Predictive Maintenance Dataset
4,000 rows · published Mar 21, 2026
Open original dataset record →Predictive Maintenance Dataset
100 rows · published Mar 20, 2026
Open original dataset record →Predictive Maintenance Dataset
100 rows · published Mar 20, 2026
Open original dataset record →Predictive Maintenance Dataset
100 rows · published Mar 20, 2026
Open original dataset record →