کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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303810 | 512754 | 2011 | 7 صفحه PDF | دانلود رایگان |
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.
Journal: Scientia Iranica - Volume 18, Issue 1, February 2011, Pages 59–65