CBM+ Text Mining & Analytics

Customer Challenge

A vendor requested to showcase data science and text mining/analytics capabilities in a real-time demo in support of desired Condition Based Maintenance (CBM+).

Innovative Solution

Illumination Works 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.

Benefits/Outcomes

  • Improved overall accuracy of enumerated codes from 70% to 90%
  • Applied advanced text analytics to look at correlations between free text and categorical variables
  • Short proof of concept showed vast value in text mining methodology
  • Provided valuable feedback to the maintainer on the quality and descriptiveness of maintenance notes

Toolbox

  • Python, R, Shiny
  • Bag of Words (BoW) model to establish word relationships
  • Machine learning to deduce meaning from free text
  • Statistical inference to predict likelihood of occurrence

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