Open AccessGear fault diagnosis via non-stationary adaptive MARTIN distance
Author(s) -
Mir Mohammad Ettefagh,
Mostafa Sadeghi
Publication year - 2011
Publication title -
scientia iranica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.299
H-Index - 51
eISSN - 2345-3605
pISSN - 1026-3098
DOI - 10.1016/j.scient.2011.03.008
Subject(s) - fault (geology) , computer science , medicine , geology , seismology
In this paper, a new method of gear fault diagnosis is proposed based on a combination of the time synchronized averaging method (TSA), time-varying ARMA model and MARTIN distance. This method contains three major steps. In the first step, a TSA method is proposed for averaging the gearbox signal. The second step deals with selection of a proper ARMA model for a signal produced via a gearbox and using an adaptive filter (with a weighted least square algorithm) for identifying the time-varying parameters of the model. In the last step, a new time-varying distance is defined for gear fault diagnosis. The proposed distance is an extension of the MARTIN distance. Finally, as the case study, the method is used on a YAMAHA gearbox for identifying gear faults. The results of the diagnosis are satisfactory