Elevator Predictive Maintenance Dataset

### Elevator Failure Prediction: Predictive Maintenence Dataset

Datasets from a variety of IoT sensors for predictive maintenance in the elevator industry. The data is useful for predictive maintenance of elevators doors in order to reduce unplanned stops and maximize equipment life cycle.

The dataset contains operation data, in the form of time series sampled at 4Hz in high-peak and evening elevator usage in a building (between 16:30 and 23:30). For an elevator car door the system we consider: Electromechanical sensors (Door Ball Bearing Sensor), Ambiance (Humidity), and Physics (Vibration).

Target: Vibration (predict the absolute value of vibration)

### Acknowledgements

Cristian Axenie; Stefano Bortoli,
https://zenodo.org/record/3653909

### 电梯故障预测：预测性维护数据集
来自各种物联网传感器的数据集，旨在电梯行业进行预测性维护。该数据集对于电梯门预测性维护具有实用性，旨在减少非计划停车次数并最大化设备生命周期。
数据集包含操作数据，以4Hz的采样率对建筑内高峰和晚高峰时段的电梯使用进行时间序列采样（时间为16:30至23:30）。针对电梯车厢门，我们所考虑的系统包括：机电传感器（门球轴承传感器）、环境（湿度）和物理（振动）。
目标：振动（预测振动的绝对值）
### 致谢
Cristian Axenie；Stefano Bortoli，
https://zenodo.org/record/3653909