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Predictive maintenance dataset (v1.0.0)

Industrial IoT
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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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To explore column names, data types, and sample rows, visit the official dataset page on External.

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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

Source: Zenodo (2020) · DOI: 10.5281/zenodo.3653909

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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