... the engagement process of the tail-push clutch, a model is proposed to convert friction torque into dynamic torque on the spline. The spline wear depth is calculated based on the Archard wear model, and a neural network model is used to characterize the spline life. Findings The minimum service life...

... the external relevant information of critical components, in order to evaluate its internal state. From the beginning of the twentieth century, different technologies have been used to process signals of dynamical systems. Design/methodology/approach – A proposed neural network (NN) is also employed...

... brake lining for automobiles was investigated on a self-made braking tester for disc brakes. Based on the experimental data, an intelligent forecasting model for the wear rate was established by the artificial neural network (ANN) technology. And by taking it as a core, an online braking wear monitoring...

...Aparecido Carlos Gonçalves; Linilson Rodrigues Padovese Purpose The purpose of this paper is to provide information on lubricant contamination by biodiesel using vibration and neural network. Design/methodology/approach The possible contamination of lubricants is verified by analyzing...

... conditions affected on the slipper performance have been analyzed experimentally. The model of the slipper system has been established by original neural network (NN) method. Findings First, the effects of the slipper geometry with smooth and conical sliding surfaces on the slipper performance were...

... is at the optimum. This paper decribes and considers present practice in lubricant condition monitoring. © MCB UP Limited 2000 Neural networks Lubricants To keep pace with rapid development, the industry is constantly under pressure for higher production. As the major share of production...