Machinery Diagnostics Via Mechanical Vibration Analysis using Spectral Analysis Techniques

Abstract

Mechanical vibration analysis affords a reliable means to selectively identify specific machinery faults. As such, it plays a key role in diagnostic work on individual units and in progressive maintenance monitoring programs where substantial diagnostic and prognostic capabilities are considered essential. A physical machinery diagnostics model was developed that was designed to incorporate some of the more common machinery faults found in rotating machinery relating to shaft, bearing, gear, and alignment defects. The results of spectral analysis techniques used to detect these simulated faults are displayed and discussed, with special emphasis on gear train diagnostics. Also included are a description of one of the current U.S. Navy machinery vibration monitoring programs, and an initial study regarding a proposed technique for providing a graphic display of gear faults. Keywords: Vibrations, Signal analysis, Machinery diagnostics, Theses. (MJM)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA202089

Entities

People

  • James A. Stamm

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence
  • Computational Science
  • Data Acquisition
  • Distortion
  • Engineers
  • Friction
  • Geometry
  • Line Spectra
  • Maintenance
  • Manufacturing
  • Measurement
  • Mechanical Engineering
  • Modal Analysis
  • Processing Equipment
  • Resonant Frequency
  • Test And Evaluation

Fields of Study

  • Engineering

Readers

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