GitHub / arjunsingh88 / Big-Data-Pyspark
The goal was to perform predictive maintenance on commercial turbofan engine. The approach used here is a data-driven approach, meaning that data collected from the operational jet engine is used to perform predictive maintenance modeling. To be specific, to build a predictive model to estimate the Remaining Useful Life ( RUL) of a jet engine based on run-to-failure data of a fleet of similar jet engines. Supervised learning(Regression and Classification models) models were adapted and customized to fit our problem.
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PURL: pkg:github/arjunsingh88/Big-Data-Pyspark
Stars: 2
Forks: 1
Open issues: 0
License: None
Language: HTML
Size: 18.3 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: over 1 year ago
Pushed at: about 5 years ago
Last synced at: over 1 year ago
Topics: big-data, classification-models, predictive-modeling, pyspark, regression-models