Development of Approximate Entropy as a Prognostic Parameter for Rotating Equipment

Author

Cody McBroom Walker, University of TennesseeFollow

Date of Award

5-2020

Degree Type

Dissertation

Degree Name

Doctor of Philosophy

Major

Nuclear Engineering

Major Professor

Jamie Coble

Committee Members

J. Wesley Hines, Richard Wood, David Irick

Abstract

Bearings are an essential component throughout most rotating equipment and power-generating systems. Current maintenance practices allow for premature replacement of bearings in a scheduled fashion. By moving to a condition-based maintenance strategy, the health of the component is assessed and used to determine the remaining useful life. This can improve plant safety and efficiency. My research focuses on vibration analysis and developing approximate entropy - a statistic that quantifies a signal's regularity and complexity - as a health indicator for bearings. Preliminary results show that this statistic has earlier fault detection and better trendability than other commonly-used features.

Recommended Citation

Walker, Cody McBroom, "Development of Approximate Entropy as a Prognostic Parameter for Rotating Equipment. " PhD diss., University of Tennessee, 2020.
https://trace.tennessee.edu/utk_graddiss/5892