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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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 |
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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 |
_version_ |
1719187963279048704 |