{
  "abstract": "This disclosure describes a predictive maintenance system for gearboxes that overcomes the limitations of vibration alarms sensitive to load variations. Conventional absolute-level alarms frequently trigger false positives or are deactivated due to normal operational duty cycles. The presented system utilizes load-normalized envelope spectra to establish a dynamic baseline. By continuously adapting to instantaneous load conditions, the system monitors specific frequency bands associated with gearbox component wear, enabling the detection of incipient faults. Baselines are iteratively refined from operational data without requiring a priori \"known-good\" machine states, allowing for robust fault detection and alarm generation that persists across changing operational duties.",
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    "industrial-motion-power-transmission/rotary-motion/gearboxes"
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      "caption": "Overall architecture for a load-normalized predictive maintenance system.",
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      "caption": "An example configuration of internal gearbox components subject to monitoring.",
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  "keywords": [
    "predictive maintenance",
    "gearbox",
    "vibration analysis",
    "envelope spectrum",
    "load normalization",
    "baseline",
    "fault detection",
    "condition monitoring",
    "frequency bands",
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  "license": {
    "name": "Creative Commons Attribution 4.0 International",
    "url": "https://creativecommons.org/licenses/by/4.0/"
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  "publication_id": "OT-2026-000000050",
  "published_at": "2026-09-15T11:50:45.981115Z",
  "publisher": "Nebula Innovations Limited",
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  "supersedes": null,
  "title": "Gearbox Predictive Maintenance Using Load-Normalized Envelope Spectra",
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}