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Identifying common ultrasonic predic...

Johnson, Jason Eric.

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Identifying common ultrasonic predictive failure signatures in bearing elements for the development of an automated condition based ultrasonic monitoring controller.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Identifying common ultrasonic predictive failure signatures in bearing elements for the development of an automated condition based ultrasonic monitoring controller./
作者:	Johnson, Jason Eric.
面頁冊數:	99 p.
附註:	Source: Masters Abstracts International, Volume: 44-03, page: 1502.
Contained By:	Masters Abstracts International44-03.
標題:	Engineering, System Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1429884
ISBN:	9780542394850

Identifying common ultrasonic predictive failure signatures in bearing elements for the development of an automated condition based ultrasonic monitoring controller.
Johnson, Jason Eric.

Identifying common ultrasonic predictive failure signatures in bearing elements for the development of an automated condition based ultrasonic monitoring controller. - 99 p.

Source: Masters Abstracts International, Volume: 44-03, page: 1502.

Thesis (M.S.)--East Tennessee State University, 2005.

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 used in an industrial environment.

ISBN: 9780542394850Subjects--Topical Terms:

1018128
Engineering, System Science.

Identifying common ultrasonic predictive failure signatures in bearing elements for the development of an automated condition based ultrasonic monitoring controller.
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520 $a 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 used in an industrial environment.
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