Detection, localization, and identification of bearings with raceway defect for a dynamometer using high frequency modal analysis of vibration across an array of accelerometers

Author

• Nicholas. Waters

Author Type

Graduate Student

Date of Award

2012

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Abstract

This thesis describes a method to detect, localize and identify a faulty bearing in a rotating machine using narrow band envelope analysis across an array of accelerometers. This technique is developed as part of the machine monitoring system of an ocean turbine. A rudimentary mathematical model is introduced to provide an understanding of the physics governing the vibrations caused by a bearing with a raceway defect. This method is then used to detect a faulty bearing in two setups : on a lathe and in a dynamometer.

Extent

xiv, 96 p. : ill. (some col.)

Comments

by Nicholas Waters.|Thesis (M.S.C.S.)--Florida Atlantic University, 2012.|Includes bibliography.|Mode of access: World Wide Web.|System requirements: Adobe Reader.|by Nicholas Waters.

Recommended Citation

Waters, Nicholas., "Detection, localization, and identification of bearings with raceway defect for a dynamometer using high frequency modal analysis of vibration across an array of accelerometers" (2012). Electronic Theses and Dissertations 2010 - 2019. 493.
https://digitalcommons.fau.edu/etd_general_6/493

Identifier

FADT3359156

Format

pdf