Traction Elevator Predictive Maintenance

The condition monitoring data for a passenger traction elevator, encompassing 1,416 real-time samples of time, speed, acceleration, and vibration, was collected using the LattePande Dashboard Kit across various scenarios. This time-series data is valuable for anomaly detection and can be leveraged in unsupervised machine-learning applications. Dataset Date "4/21/2024". Please cite following article:
Ozdmir S, N. Neamah O, Bayir R. Enhanced safety and efficiency in traction elevators: A real-time monitoring system with anomaly detection. Artif. Intell. Auton. Syst. 2025(1):0000, https://doi.org/10.55092/aias20250001.