Vibration Signal Analysis Techniques

Abstract

The program was initiated to investigate the many means of using vibration signals to detect the condition of mechanical components, with particular emphasis on gears and bearings in the helicopter power train. An exhaustive literature search was performed in which specific techniques were identified. Several visits were made to people active in the vibration diagnostics field. The techniques which were identified as being potentially useful were investigated in detail. The results of this investigation include a presentation of the state of the art of each technique and an analysis via actual helicopter data, test rig data, and a dynamic model simulation. The techniques have been broken down by mathematical function, i.e., time domain and frequency domain, and also by the components being monitored, i.e., gears or bearings. Both mechanically related and pattern recognition techniques are discussed. An extensive reference listing and a listing of companies and agencies active in diagnostics work are included.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1973
Accession Number
AD0776397

Entities

People

  • Donald R. Houser
  • Michael J. Drosjack

Organizations

  • Ohio State University

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Analyzers
  • Computational Science
  • Correlation Analysis
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Detectors
  • Frequency Bands
  • Information Processing
  • Information Science
  • Measurement
  • Military Research
  • Pattern Recognition
  • Repetition Rate
  • Test And Evaluation
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
  • Business Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML