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) : Rofe, Simon

PDF Url : ADA324101

Report Date : FEB 1997

Pagination or Media Count : 44

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.

Descriptors :   *LOAD DISTRIBUTION, *VIBRATION, *HELICOPTERS, *TRANSMISSIONS(MECHANICAL), MATHEMATICAL MODELS, SIGNAL PROCESSING, COMPUTERIZED SIMULATION, STOCHASTIC PROCESSES, TIME SERIES ANALYSIS, LEAST SQUARES METHOD, RESIDUAL STRESS, AUSTRALIA, IMPULSE LOADING.

Subject Categories : Helicopters
      Mechanics

Distribution Statement : APPROVED FOR PUBLIC RELEASE