Manufacturing-Data-Science-with-Python

Data science and machine learning applied to problems in manufacturing.

Contents

Metal Machining

Anomaly detection as applied to metal machining using the UC Berkely milling data set. The data set can be downloaded from the the NASA Prognostics Center of Excellence website.

• 1.A_milling-data-exploration.ipynb Notebook explores the milling data set. You'll get familiar with the data set and visualize the cutting signals. My blog post explains the notebook in detail, and you can run the notebook here.

                       

• 1.B_building-vae.ipynb Notebook lays out the construction and training of a variational autoencoder (VAE) using the milling data. Here's the blog post explaining the notebook, and you can run the notebook here.

               

• 1.C_anomaly-results.ipynb Notebook inspects the results from the trained VAE. Here's the blog post explaining the notebook, and you can run it here.