CBM+ Text Mining and Analytics

ILW experts are transforming our clients’ raw data into actionable intelligence by leveraging modern tools in advanced analytics and text mining.

ILW supported a vendor request to showcase data science and text mining/analytics capabilities in a real-time demo in support of desired Condition Based Maintenance (CBM+) outcomes. ILW applied modern text mining, advanced machine learning, and sound statistics to quickly analyze, mine, cleanse, merge, explore, and expose maintenance text data for CBM+ insights.

Key Results

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Improved overall accuracy of enumerated codes from 70% to 90%.

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Short proof of concept showed vast value in text mining methodology.

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Applied advanced text analytics to look at correlations between free text and categorical variables.

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Provided valuable feedback to the maintainer on the quality and descriptiveness of maintenance notes.

Text Mining and Analytics Outcome

ILW Consultants created a repeatable process for the vendor.

  • Establish word relationships in Bag of Words (Bow) model.
  • Use machine learning to deduce meaning form free text.
  • Perform statistical inference to predict likelihood of occurrence.
  • Improve overall accuracy of enumerated codes.
  • Quantify information to identify drivers. associations, and ambiguities, and define source dictionaries and ontologies.

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