Synthesized Synchronous Sampling Technique for Bearing Damage Detection Preprint

Abstract

Differential bearing between the low-pressure turbine (LPT) shaft and high-pressure turbine (HPT) shaft is one of the most vulnerable parts in a turbo machinery engine. Yet, it is one of the most difficult parts to detect the damage signatures, because the signal to noise ratio at the regular sensor locations is usually low. In addition, the speed variations in both the LPT and the HPT can further deteriorate the damage signature extracted by the conventional analysis. In this paper, we developed a "synthesized synchronous sampling" technique to enhance the differential bearing damage signature. With this technique, together with the conventional acceleration enveloping technique, we are able to detect differential bearing damage at much earlier stage, thus provide early warning of the machinery health conditions.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA503134

Entities

People

  • Geo Van Der Merwe
  • George Ghanime
  • Hai Qiu
  • Huageng Luo
  • Melinda Hirz

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Damage Detection
  • Detection
  • Detectors
  • Digital Signal Processing
  • Dynamic Range
  • Frequency
  • Frequency Domain
  • High Dynamic Range
  • High Pressure
  • Manufacturing
  • Monitoring
  • Reliability
  • Sampling
  • Signal Processing
  • Vibration

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
  • Computer Vision.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).