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Predictive maintenance dataset (v1.0.0)

Industrial IoT
Feb 08, 2026
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Abstract

"Public (anonymized) predictive maintenance datasets from Huawei Munich Research Center for elevator industry; operation time series sampled at 4Hz (16:30–23:30) using electromechanical sensors, humidity, and vibration."

Description

Public (anonymized) predictive maintenance datasets from Huawei Munich Research Center. The data is intended for predictive maintenance of elevator doors to reduce unplanned stops and maximize equipment life cycle. It contains operation data as time series sampled at 4Hz during high-peak and evening usage (16:30–23:30), considering electromechanical sensors (Door Ball Bearing Sensor), humidity, and vibration.

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Cite This Dataset 

Huawei Munich Research Center (2020). Predictive maintenance dataset (v1.0.0). [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.3653909

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Original source: Zenodo (2020). Visit official page for more details.

Indexed by IoTDataset.com on Feb 08, 2026

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Related Topics & Keywords

#predictive-maintenance #elevator #industrial-iot #timeseries #4hz #vibration #humidity #zenodo

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