132421-Thumbnail Image.png
Description
The objective of this paper is to find and describe trends in the fast Fourier transformed accelerometer data that can be used to predict the mechanical failure of large vacuum pumps used in industrial settings, such as providing drinking water.

The objective of this paper is to find and describe trends in the fast Fourier transformed accelerometer data that can be used to predict the mechanical failure of large vacuum pumps used in industrial settings, such as providing drinking water. Using three-dimensional plots of the data, this paper suggests how a model can be developed to predict the mechanical failure of vacuum pumps.
754.25 KB application/pdf

Download restricted. Please sign in.
Restrictions Statement

Barrett Honors College theses and creative projects are restricted to ASU community members.

Details

Title
  • Predicting Mechanical Failure of Vacuum Pumps Using Accelerometer Data
Contributors
Date Created
2019-05
Resource Type
  • Text
  • Machine-readable links