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arXiv · 2408.14448

Vibration Sensor Dataset for Estimating Fan Coil Motor Health

Heitor Lifsitch·Gabriel Rocha·Hendrio Bragança·Cláudio Filho·Leandro Okimoto·Allan Amorin·Fábio Cardoso
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Abstract

To enhance the field of continuous motor health monitoring, we present FAN-COIL-I, an extensive vibration sensor dataset derived from a Fan Coil motor. This dataset is uniquely positioned to facilitate the detection and prediction of motor health issues, enabling a more efficient maintenance scheduling process that can potentially obviate the need for regular checks. Unlike existing datasets, often created under controlled conditions or through simulations, FAN-COIL-I is compiled from real-world operational data, providing an invaluable resource for authentic motor diagnosis and predictive maintenance research. Gathered using a high-resolution 32KHz sampling rate, the dataset encompasses comprehensive vibration readings from both the forward and rear sides of the Fan Coil motor over a continuous two-week period, offering a rare glimpse into the dynamic operational patterns of these systems in a corporate setting. FAN-COIL-I stands out not only for its real-world applicability but also for its potential to serve as a reliable benchmark for researchers and practitioners seeking to validate their models against genuine engine conditions.

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Heitor Lifsitch, Gabriel Rocha, Hendrio Bragança, Cláudio Filho, Leandro Okimoto, Allan Amorin, Fábio Cardoso. 2024-08-26. Vibration Sensor Dataset for Estimating Fan Coil Motor Health. https://doi.org/10.1016/j.dib.2024.110866

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