Preprint
Data Descriptor

This version is not peer-reviewed.

Curated Vibration Features and an Interpretable Gearbox Health Index (GHI) Baseline for Condition Monitoring Benchmarking

Submitted:

05 March 2026

Posted:

06 March 2026

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Abstract
This data descriptor provides a standardized and reproducible subsystem-level represen-tation of the NREL wind turbine gearbox condition monitoring benchmarking dataset. The released records are derived from Healthy (H1–H10) and Damaged (D1–D10) meas-urement files and include subsystem-level standardized indices (KHI_HS, KHI_IMS, KHI_PL) together with a calibrated 0–1 Gearbox Health Index (GHI). The indices are gen-erated using a fully specified and deterministic feature extraction and aggregation work-flow based on established vibration indicators and healthy-referenced normalization. The Zenodo deposit contains machine-readable CSV tables intended to support transparent benchmarking across supervised classification and anomaly detection studies. The pro-posed GHI is introduced as an interpretable and reproducible reference baseline rather than an optimized diagnostic model. Technical validation demonstrates condition-level separability within the analyzed dataset while emphasizing the descriptive nature of the index. By releasing structured derived records and a documented regeneration procedure, this work enables implementation-independent comparison of gearbox condition moni-toring approaches and supports reproducible evaluation of alternative health index formulations.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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