Vibration-Based Damage Detection in Rotating Machinery

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Description

Damage detection as determined from changes in the vibration characteristics of a system has been a popular research topic for the last thirty years. Numerous damage identification algorithms have been proposed for detecting and locating damage in structural and mechanical systems. To date, these damage-detection methods have shown mixed results. A particular application of vibration-based damage detection that has perhaps enjoyed the greatest success is that of damage detection in rotating machinery. This paper summarizes the state of technology in vibration-based damage detection applied to rotating machinery. The review interprets the damage detection process in terms of a statistical pattern ... continued below

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11 p.

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Farrar, C.R. & Duffey, T.A. June 28, 1999.

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Description

Damage detection as determined from changes in the vibration characteristics of a system has been a popular research topic for the last thirty years. Numerous damage identification algorithms have been proposed for detecting and locating damage in structural and mechanical systems. To date, these damage-detection methods have shown mixed results. A particular application of vibration-based damage detection that has perhaps enjoyed the greatest success is that of damage detection in rotating machinery. This paper summarizes the state of technology in vibration-based damage detection applied to rotating machinery. The review interprets the damage detection process in terms of a statistical pattern recognition paradigm that encompasses all vibration-based damage detection methods and applications. The motivation for the study reported herein is to identify the reasons that vibration-based damage detection has been successfully applied to rotating machinery, but has yet to show robust applications to civil engineering infrastructure. The paper concludes by comparing and contrasting the vibration-based damage detection applied to rotating machinery with large civil engineering infrastructure applications.

Physical Description

11 p.

Notes

OSTI as DE00758931

Medium: P; Size: 11 pages

Source

  • Damage Assessment of Structures, Dublin (IE), 06/28/1999--06/30/1999

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  • Report No.: LA-UR-99-1057
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 758931
  • Archival Resource Key: ark:/67531/metadc703525

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Creation Date

  • June 28, 1999

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

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  • April 6, 2017, 7:47 p.m.

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Farrar, C.R. & Duffey, T.A. Vibration-Based Damage Detection in Rotating Machinery, article, June 28, 1999; New Mexico. (digital.library.unt.edu/ark:/67531/metadc703525/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.