Signal Processing Methods for Gearbox Fault Detection.

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.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1997
Accession Number
ADA324101

Entities

People

  • Simon Rofe

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Airframes
  • Algorithms
  • Australia
  • Computational Science
  • Dynamics
  • Engineering
  • Estimators
  • Frequency
  • Helicopters
  • Information Science
  • Mathematical Models
  • Models
  • Noise
  • Signal Processing
  • Simulations
  • Spectra
  • Universities

Fields of Study

  • Engineering

Readers

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