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Predictive maintenance

Fault Detection in Rotating Machinery

Predictive-maintenance fault detection for rotating machinery using Deep Stack Autoencoders.

Result 99% accuracy · 98% F1-score Tags Autoencoders · Anomaly Detection · Predictive Maintenance · Python
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An applied predictive-maintenance model: catch mechanical faults in rotating machinery before they become failures.

Results

  • Deep Stack Autoencoders learn the structure of healthy operation and flag deviations.
  • 99% accuracy and a 98% F1-score on the fault-detection task.
  • A practical bridge between my control-systems background and machine learning — the kind of condition-monitoring problem where reliability really matters.