Silence Is Not Safety: Minute-Level Forensics of Spur Gear Spall Progression from Low-Cost Condition Indicators
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Abstract
The sensitivity loss of classical condition indicators during damage progression has been on record since the early NASA gear test programs: FM4 peaks early in pitting tests and returns toward its nominal value as damage spreads (Zakrajsek et al., 1993; Decker et al., 1994), and Dempsey (2000) drew the practical conclusion that vibration indicators alone are an unreliable basis for damage assessment, arguing for fusion with oil-debris measurement. Lewicki et al. (2009) rated FM4 and RMS below average for detecting surface pitting on a helicopter-scale test program. That the indicator families are not interchangeable is also established: Bechhoefer and Butterworth (2019), ranking eighty-eight analyses by separability on a cracked tooth, retained the energy operator despite its weak showing there on the reasoning that no single indicator serves every gear fault, and closed by cautioning that a pitting fault would call for a different set. What the present work adds is an axis: their comparison runs across failure modes and across acquisitions, whereas the separation reported here is temporal -- within a single progression of a single mode, resolving inside one six-hour run.
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Data Challenge
Blum, A., & Hardt, M. (2015). The Ladder: A reliable leaderboard for machine learning competitions. Proceedings of the 32nd International Conference on Machine Learning, PMLR 37, 1006-1014.
Decker, H. J., Handschuh, R. F., & Zakrajsek, J. J. (1994). An enhancement to the NA4 gear vibration diagnostic parameter (NASA TM-106553). NASA Lewis Research Center.
Dempsey, P. J. (2000). A comparison of vibration and oil debris gear damage detection methods applied to pitting damage (NASA/TM-2000-210371). NASA Glenn Research Center.
Lewicki, D. G., Dempsey, P. J., Heath, G. F., & Shanthakumaran, P. (2009). Gear fault detection effectiveness as applied to tooth surface pitting fatigue damage (NASA/TM-2009-215667). NASA Glenn Research Center.
Zakrajsek, J. J., Townsend, D. P., & Decker, H. J. (1993). An analysis of gear fault detection methods as applied to pitting fatigue failure data (NASA TM-105950). NASA Lewis Research Center.
PHM Society. (2026). PHM North America 2026 Conference Data Challenge. https://data.phmsociety.org/phm-north-america-2026-conference-data-challenge/

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