Accession Number:

ADA324101

Title:

Signal Processing Methods for Gearbox Fault Detection.

Descriptive Note:

Technical rept.,

Corporate Author:

DEFENCE SCIENCE AND TECHNOLOGY ORGANIZATION CANBERRA (AUSTRALIA)

Personal Author(s):

Report Date:

1997-02-01

Pagination or Media Count:

44.0

Abstract:

Methods of accounting for load variation in vibration signals from helicopter transmission systems are presented. These methods are based on autoregressive moving-average ARMA models, and several ARMA parameter estimation schemes are presented. Simulations of load variation are carried out, and a prediction error filter, based on the ARMA models, is used to generate a residual signal. Fault indices extracted from the residential signal are used to indicate the presence or absence of a fault. The results of the simulations suggest that this method of fault detection is able to detect both general and local fault conditions.

Subject Categories:

  • Helicopters
  • Mechanics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE