Early fault detection in gearboxes via dynamic principal component analysis-driven multivariate statistical process

Antonio Pérez-Torres1,2, Jean Navarrete-Campos3, Reinier Fernández-López4

  • 1Department of Applied Statistics and Operational Research, and Quality, Universitat Politècnica de València, València, Spain.

Plos One
|May 18, 2026
PubMed
Summary

This study introduces a new method for early gearbox failure detection using dynamic principal component analysis (DPCA) and vibration signals. The approach effectively identifies progressive degradation for predictive maintenance in industrial settings.

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