Gearbox Condition Monitoring Using Advanced Classifiers

Acta Polytechnica

P. Večeř¹  M. Kreidl¹  R. Šmíd¹ 

关键词: diagnostics;    automotive gearbox;    Kohonen Neural Network;    self-organizing map;    ANFIS;    classification system;    data pre-processing;   

DOI  :  

来源: Czech Technical University in Prague, Faculty of M

【 摘 要 】

New efficient and reliable methods for gearbox diagnostics are needed in automotive industry because of growing demand for production quality. This paper presents the application of two different classifiers for gearbox diagnostics – Kohonen Neural Networks and the Adaptive-Network-based Fuzzy Interface System (ANFIS). Two different practical applications are presented. In the first application, the tested gearboxes are separated into two classes according to their condition indicators. In the second example, ANFIS is applied to label the tested gearboxes with a Quality Index according to the condition indicators. In both applications, the condition indicators were computed from the vibration of the gearbox housing. 

【 授权许可】

Unknown