DIAGNOSTIC NOISE STUDY OF POWER TRANSMISSION SYSTEMS

Abstract

An investigation was made of noise in the X-19 power transmission system to demonstrate the feasibility of using the diagnostic sonic technique to determine the mechanical condition of the internal gearing and bearings. The method employed in monitoring the transmission system utilizes the noise generated by gears and bearings to determine integrity of the system. The condenser type microphone system was utilized to record these signals on magnetic tape, and the recorded data were then analyzed using the panoramic sonic analyzer. In addition to the diagnostic sonic concept, a spectrometric oil analysis of the system was also made. The diagnostic sonic analysis of the X-19 power transmission system was successful in detecting the majority of the system anomalies including a gear fatigue failure, several bearing failures, and gear tooth scuffing conditions. Correlation between acoustic and spectrometric oil analysis was also achieved. The results of this investigation indicate the ability of the diagnostic sonic analysis technique in determining the mechanical integrity of the X-19 power transmission system. Although spectrometric oil analysis cannot indicate fatigue failures which may occur between sampling periods and obviously cannot detect nonlubricated components, in many cases additional information is obtained by the correlation of the oil sampling and sonic methods. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1966
Accession Number
AD0642523

Entities

People

  • R. G. Locklin

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Army Aviation
  • Compressor Rotors
  • Compressors
  • Engineering
  • Frequency
  • Government Procurement
  • Governments
  • Power Supplies
  • Recording Systems
  • Systems Engineering
  • Tape Recorders
  • Test And Evaluation
  • Turbines
  • United States

Fields of Study

  • Engineering

Readers

  • Fluid Dynamics.
  • Image Processing and Computer Vision.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).