Fuzzy-Rule-Based Faults Classification of Gearbox of MF 285 Tractor

This paper presents a fault Classification method based on a fuzzy inference system.The vibration signal from a piezoelectric transducer is captured for the following conditions of MF285 gearbox: ‘Healthy Gearbox’ (Healthy), ‘Gear with tooth face worn’ (Worn) and ‘Gear with tooth face broken’ (Broken), at two working speed (800 and 1500 rpm). The features of signal were extracted using descriptive statistic parameters. The output of the J48 algorithm is a decision tree that was employed to produce the crisp if-then rule and membership function sets. Results showed that the total classification accuracy for 800 and 1500 rpm conditions were about 87% and 100%.

کلیدواژه ها:

Vibration-Based Condition Monitoring ، J48 algorithm ، Gearbox ، FIS