Predicting Failure Rate in Different Maintenance Conditions for MF 399 Tractor, a case study in southwest of Iran

Abstract

The use of tractors for agricultural works showed an important role to mechanized agricultural sector. A repairable mechanical system (as agricultural tractor) is subject to deterioration or repeated failure. In this study, the regression model was used to predict the failure rate of MF399 tractor. The machine failure pattern was carefully studied and key factors affecting the failure rate were identified in five regions of Khouzestan province. Results showed that different annual use hours and maintenance policies affected failure rate. According to the data, the MF399 tractors included in 300-1000 annual use hours were commonly in a randomized breakdown period during their useful life but these tractors tend to enter the wear out period in the 1200-2000 AUH.