An Algorithm for Determination of Bearing Health Through Automated Vibration Monitoring

Abstract

This report investigates considerations involved in designing an expert system capable of real-time monitoring of turbine engine vibration data to detect rolling element bearing faults. Topics include development of the fundamental bearing fault frequencies, data analysis techniques, results of manual analysis, and considerations in bearing health criteria and monitoring. Methodologies are described for characterization of engine family vibration across the engine's envelope, and a bearing health monitoring algorithm is discussed in detail. Work reported will be extended and automated to encompass a complete vibration based turbine engine Health Monitoring System (HEMOS). When completely developed, HEMOS will likely augment the multifaceted capabilities of the Computer Assisted Dynamic Data Monitoring and Analysis System (CADDMAS) under development by the Directorate of Technology - Propulsion Division (DOTP) of Arnold Engineering Development Center (AEDC), Air Force Materiel Command (AFMC), Arnold AFB, TN.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1993
Accession Number
ADA274591

Entities

People

  • Sid W. Hite Iii

Organizations

  • Arnold Engineering Development Complex

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computers
  • Data Acquisition
  • Data Analysis
  • Databases
  • Digital Data
  • Engine Components
  • Engineering
  • Expert Systems
  • Frequency
  • Frequency Response
  • High Pressure
  • Jet Engines
  • Turbines
  • Turbofan Engines
  • Turbomachinery

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
  • Medical or Health Care Field.
  • Software Engineering.