Sync-Period Frequency Analysis and Its Application to the Diagnosis of Multiple Element Defects of Rolling Bearings

Abstract

A method for diagnosing multiple element defects of rolling bearings has been investigated. The method combines the time synchronous averaging and envelope spectral analysis techniques to produce spectra of synchronously averaged envelope signals with a range of synchronous frequencies. The spectra are displayed in the domains of synchronous period versus frequency to result in the sync-period frequency distribution. The distribution separates the characteristic defect frequencies and their associated sidebands in the synchronous period axis. This analysis technique makes it possible to detect and diagnose multiple defects appearing on different elements of rolling bearings. Another main benefit of the method is the significant noise reduction by both enveloping and synchronous averaging process. Analysis results from computer simulated data and experimental simulated data are presented.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1996
Accession Number
ADP010222

Entities

People

  • Michael J. Harrap
  • Wen-yi Wang

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Ball Bearings
  • Bandwidth
  • Bearings
  • Broadband
  • Comb Filters
  • Detection
  • Detectors
  • Diameters
  • Electric Discharges
  • Filters
  • Filtration
  • Frequency
  • Frequency Domain
  • Noise
  • Sidebands
  • Signal Processing
  • Spectra

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Plasma Physics / Magnetohydrodynamics
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).