WSEAS Transactions on Applied and Theoretical Mechanics
Print ISSN: 1991-8747, E-ISSN: 2224-3429
Volume 7, 2012
Fuzzy-Rule-Based Faults Classification of Gearbox Tractor
Authors: , , , ,
Abstract: 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 MF 285 gearbox: ‘Healthy Gearbox’ (H), ‘Gear with tooth face worn’ (W) and ‘Gear with tooth face broken’ (B), at three working speed (700, 1500 and 1800 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 700, 1500 and 1800 rpm conditions were about 79.63%, 100% and 96.3%.