Data Science Big Data Ingestion

Customer Challenge

A utility company needed an automated method for classifying faults that were occurring regularly on their transmission grid.

Innovative Solution

Illumination Works developed automated data ingestion processes into Hadoop, resulting in a more readily consumable data schema than the software previously used by the engineers.

Benefits/Outcomes

  • Drastically reduced previously manual analysis while increasing the accuracy of predictions
  • Leveraged Spark to powers and automate the model for transmission engineers to examine
  • Enhanced with machine learning to provide insights on transmission health
  • Implemented feedback loop to allow engineers to update incorrect classifications
  • Improved asset renewal via enhanced fault detection and identification of at-risk locations

Toolbox

  • Hadoop, Hive, Spark, PySpark, and Zeppelin
  • Sensors and Spark-generated features
  • Machine Learning Classifier
  • Time-Series Analysis
  • Discrete Fourier Transformations

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