Case study: anomaly detection in engineering data for an aviation manufacturer

Industry
Aviation manufacturing
Area
Anomalies
Technology
ML · Time Series

A major Russian aviation manufacturer.

  • −40%analysis time
  • 1000+measurements/day
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Context

Structural element condition monitoring was based on weight measurement data. As production volume grew, manual oscillogram analysis was no longer scalable.

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Task

Develop a system for detecting anomalous patterns in time series, enabling early-stage defect detection.

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Implementation

  • Multi-channel oscillogram preprocessing and normalization
  • Research and testing of multiple anomaly detection approaches
  • Quality criteria setup and validation procedure
  • Production module development for integration into existing infrastructure

Processing handled thousands of measurements daily.

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Results

  • Data analysis time reduced by more than 40%
  • Reduced dependency on manual expert review
  • Solution deployed in production across multiple sites, including international ones

The system is embedded in the manufacturing process and used as a regular diagnostics tool.

Tell us what needs to work better

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