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

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  • Krisztian Horvath

    (Department of Vehicle Development, Audi Hungaria Faculty of Engineering, Széchenyi István University, Egyetem tér 1, H-9026 Győr, Hungary)

Abstract

This data descriptor provides a standardized and reproducible subsystem-level representation of the NREL wind turbine gearbox condition monitoring benchmarking dataset. The released records are derived from Healthy (H1–H10) and Damaged (D1–D10) measurement 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 generated using a fully specified and deterministic feature extraction and aggregation workflow 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 proposed 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 an implementation-independent comparison of gearbox condition monitoring approaches and supports reproducible evaluation of alternative health index formulations.

Suggested Citation

  • Krisztian Horvath, 2026. "Curated Vibration Features and an Interpretable Gearbox Health Index (GHI) Baseline for Condition Monitoring Bench-Marking," Data, MDPI, vol. 11(4), pages 1-9, March.
    • Handle: RePEc:gam:jdataj:v:11:y:2026:i:4:p:70-:d:1908997
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