國立虎尾科技大學 |

Multi-Time Scale Modeling strategy for bearing life prognosis.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Multi-Time Scale Modeling strategy for bearing life prognosis./
Author:	Sheng, Shuangwen.
Description:	1 online resource (127 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 69-09, Section: B, page: 5739.
Contained By:	Dissertation Abstracts International69-09B.
Subject:	Mechanical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9780549786054

Multi-Time Scale Modeling strategy for bearing life prognosis.
Sheng, Shuangwen.

Multi-Time Scale Modeling strategy for bearing life prognosis. - 1 online resource (127 pages)

Source: Dissertation Abstracts International, Volume: 69-09, Section: B, page: 5739.

Thesis (Ph.D.)--University of Massachusetts Amherst, 2008.

Includes bibliographical references

Prediction of a bearing service life is traditionally based on empirical or physical models. In an effort of combining the strengths of these modeling approaches and minimizing their respective limitations, this research establishes a unified framework that couples the empirical and physical models, based on the concept of Multi-Time Scale Modeling (MTSM). Specifically, a MTSM strategy for bearing life prognosis is developed by correlating experimentally acquired bearing vibration data, which reflect upon the global defective condition in a bearing, with the microscopic growth in the crack size. The focus of study is on the coupling mechanism between the process that can be characterized by a fast-changing scale, e.g. vibration level (that is determined experimentally) and the process that evolves on a slow-changing scale, e.g., crack propagation.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780549786054Subjects--Topical Terms:

557493
Mechanical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Multi-Time Scale Modeling strategy for bearing life prognosis.
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100 1 $a Sheng, Shuangwen. $3 1189526
245 1 0 $a Multi-Time Scale Modeling strategy for bearing life prognosis.
264 0 $c 2008
300 $a 1 online resource (127 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Dissertation Abstracts International, Volume: 69-09, Section: B, page: 5739.
500 $a Adviser: Robert X. Gao.
502 $a Thesis (Ph.D.)--University of Massachusetts Amherst, 2008.
504 $a Includes bibliographical references
520 $a Prediction of a bearing service life is traditionally based on empirical or physical models. In an effort of combining the strengths of these modeling approaches and minimizing their respective limitations, this research establishes a unified framework that couples the empirical and physical models, based on the concept of Multi-Time Scale Modeling (MTSM). Specifically, a MTSM strategy for bearing life prognosis is developed by correlating experimentally acquired bearing vibration data, which reflect upon the global defective condition in a bearing, with the microscopic growth in the crack size. The focus of study is on the coupling mechanism between the process that can be characterized by a fast-changing scale, e.g. vibration level (that is determined experimentally) and the process that evolves on a slow-changing scale, e.g., crack propagation.
520 $a A model for the fast-changing process is developed by means of a polynomial regression analysis. Various curve fitting methods have been evaluated using data obtained from a finite element model of a ball bearing that contains a seeded defect in the outer ring. The slow-changing process is modeled based on the concept of the Paris Law, which describes crack propagation as a result of stress concentration. The coupling between the two time scales is established by relating the observed (or predicted) vibration feature to the crack size, based on the concept of dynamic mass. The validity of the proposed MTSM strategy is evaluated using data from bearing life cycle experiments. Comparison with results obtained from traditional single-time scale techniques indicates that the MTSM approach is capable of achieving longer term and more accurate remaining service life prognosis of the test bearing.
520 $a While this study addresses bearings as the application domain, the concept of MTSM is applicable to a broad range of research, where understanding and exploration of phenomena and mechanisms characterized by different time scales may significantly improve the accuracy and reliability in machine service life prognosis.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Mechanical engineering. $3 557493
655 7 $a Electronic books. $2 local $3 554714
690 $a 0548
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Massachusetts Amherst. $b Mechanical Engineering. $3 1189527
773 0 $t Dissertation Abstracts International $g 69-09B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3325122 $z click for full text (PQDT)