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Research Article Open access In press

Interpretable Fault Detection in Industrial Pumps Using Gradient-Boosted Trees

A. MehtaY. SatoF. Becker

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Abstract

Using two years of telemetry from 140 pumps, we trained gradient-boosted models that flagged bearing faults a median of nine days before failure while providing feature attributions that maintenance teams found actionable.

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How to cite

A. Mehta, Y. Sato, F. Becker (2026) Interpretable Fault Detection in Industrial Pumps Using Gradient-Boosted Trees. Journal of Intelligent Systems Practice 3(2). https://doi.org/10.55555/jisp.2026.0401

© 2026 A. Mehta, et al. Open access under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.