top of page

Team UpTime

hourglass_edited

Project Background

The Mission:

Uptime set out to create a machine learning algorithm to classify and predict the remaining lifespans of CNC bits. Using machine learning programs to digest the data collected to then give precise and accurate estimates on the parts, being able to tell how certain processes or materials could further degrade or extend lifespan as well. The purpose of this program would be to allow for accurate predictions of needed maintenance before the problem occurs, removing maintenance downtime. Uptime created a variety of programs to achieve this going through several algorithms and iterations, all in the hopes of creating maintenance Uptime

nsf logo2.jpg

© 2026 Mechanical Engineering Technology & Manufacturing Engineering Technologies (MET²) Program. All rights reserved.

 

The Mechanical Engineering Technology & Manufacturing Engineering Technologies (MET²) is supported by the National Center for Next Generation Manufacturing, award number 1400610. The National Center for Next Generation Manufacturing is funded by the National Science Foundation under DUE ATE # 2335016. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

bottom of page