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

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 senso...

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Main Author: Johnson, Jason Eric
Format: Others
Published: Digital Commons @ East Tennessee State University 2005
Subjects:
Online Access:https://dc.etsu.edu/etd/1097
https://dc.etsu.edu/cgi/viewcontent.cgi?article=2254&context=etd
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spelling ndltd-ETSU-oai-dc.etsu.edu-etd-22542019-05-16T04:45:03Z Identifying Common Ultrasonic Predictive Failure Signatures in Bearing Elements for the Development of an Automated Condition Based Ultrasonic Monitoring Controller. Johnson, Jason Eric 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. 2005-12-17T08:00:00Z text application/pdf https://dc.etsu.edu/etd/1097 https://dc.etsu.edu/cgi/viewcontent.cgi?article=2254&context=etd Copyright by the authors. Electronic Theses and Dissertations Digital Commons @ East Tennessee State University Ultrasonics Condition Based Monitoring Engineering
collection NDLTD
format Others
sources NDLTD
topic Ultrasonics
Condition Based Monitoring
Engineering
spellingShingle Ultrasonics
Condition Based Monitoring
Engineering
Johnson, Jason Eric
Identifying Common Ultrasonic Predictive Failure Signatures in Bearing Elements for the Development of an Automated Condition Based Ultrasonic Monitoring Controller.
description 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.
author Johnson, Jason Eric
author_facet Johnson, Jason Eric
author_sort Johnson, Jason Eric
title Identifying Common Ultrasonic Predictive Failure Signatures in Bearing Elements for the Development of an Automated Condition Based Ultrasonic Monitoring Controller.
title_short Identifying Common Ultrasonic Predictive Failure Signatures in Bearing Elements for the Development of an Automated Condition Based Ultrasonic Monitoring Controller.
title_full Identifying Common Ultrasonic Predictive Failure Signatures in Bearing Elements for the Development of an Automated Condition Based Ultrasonic Monitoring Controller.
title_fullStr Identifying Common Ultrasonic Predictive Failure Signatures in Bearing Elements for the Development of an Automated Condition Based Ultrasonic Monitoring Controller.
title_full_unstemmed Identifying Common Ultrasonic Predictive Failure Signatures in Bearing Elements for the Development of an Automated Condition Based Ultrasonic Monitoring Controller.
title_sort identifying common ultrasonic predictive failure signatures in bearing elements for the development of an automated condition based ultrasonic monitoring controller.
publisher Digital Commons @ East Tennessee State University
publishDate 2005
url https://dc.etsu.edu/etd/1097
https://dc.etsu.edu/cgi/viewcontent.cgi?article=2254&context=etd
work_keys_str_mv AT johnsonjasoneric identifyingcommonultrasonicpredictivefailuresignaturesinbearingelementsforthedevelopmentofanautomatedconditionbasedultrasonicmonitoringcontroller
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