Accession Number : ADB030310

Title :   Prediction of Equipment Failure by Acoustical Signature Analysis. Phase II.

Descriptive Note : Final rept. Feb 77-Jun 78,

Corporate Author : ABERDEEN PROVING GROUND MD MATERIEL TESTING DIRECTORATE

Personal Author(s) : Walton,W. Scott

Report Date : JUL 1978

Pagination or Media Count : 109

Abstract : Vibration data were gathered from accelerometers mounted on 8V71T diesel engines at Letterkenny Army Depot and US Army Aberdeen Proving Ground. A pattern recognition computer program was tested to see if it could distinguish between the vibration signature of good engines and the vibration signature of faulty engines. Vibration signatures from 24 engines (12 good, 12 faulty) were used to 'train' the computer program. The classifier routine produced by the computer program was then tested on the 24 'training' signatures and 14 'mystery' signatures (9 good, 5 faulty) that it had not seen before. Classification was accomplished with 100% accuracy on the 'training' data and 79% accuracy on the 'mystery' data. Further study indicated, however, that the accuracy of the classifier was not significant when using a training sample this small.

Descriptors :   *Diesel engines, *Acoustic signatures, Vibration, Accelerometers, Pattern recognition, Computer programs, Computer aided diagnosis, Electroacoustic transducers, Failure(Mechanics), Predictions

Subject Categories : Computer Programming and Software
      Acoustics
      Mechanics
      Reciprocating and Rotating Engines

Distribution Statement : APPROVED FOR PUBLIC RELEASE