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East Tennessee State University

Identifying Common Ultrasonic Predictive Failure Signatures in Bearing Elements for the Development of an Automated Condition Based Ultrasonic Monitoring Controller.

Abstract

dc:description.abstract

<p>This thesis presents a new method for Condition Based Ultrasonic Monitoring to be applied in conjunction with a lubrication distribution controller. As part of this thesis, algorithms were developed using ultrasonic sensors to control the application of lubrication to machinery. The controller sensors detect an ultrasonic signal from rolling or sliding machine elements. This signal then alerts the controller to dispense the proper amount of lubrication when needed, as opposed to a time schedule based on average performance or history. The work from this thesis will be used to help reduce equipment downtime and maintenance cost when utilized in an industrial environment.</p>

Degree

thesis:*
Name thesis:degree_name
MS (Master of Science)
Level thesis:degree_level
Thesis - unrestricted
Discipline thesis:degree_discipline
Technology
Year dc:date.issued
2005

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Johnson, Jason Eric

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Copyright by the authors.

Identifiers

dc:identifier.*
Repository record dc:identifier
https://dc.etsu.edu/etd/1097
OAI identifier oai:identifier
oai:dc.etsu.edu:etd-2254

Chain of custody

source
Harvested from
East Tennessee State University
Base URL
dc.etsu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Johnson, Jason Eric. Identifying Common Ultrasonic Predictive Failure Signatures in Bearing Elements for the Development of an Automated Condition Based Ultrasonic Monitoring Controller.. Thesis - unrestricted thesis, 2005. https://dc.etsu.edu/etd/1097