Predicting contact characteristics for helical gear using support vector machine

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• 作者：Wenliang LiAuthor Vitae ; Weiyang LinAuthor Vitae ; Jinyong YuAuthor Vitae
• 关键词：Support vector machine ; Helical gear ; Friction force ; Friction torque
• 刊名：Neurocomputing
• 出版年：2016
• 出版时间：22 January 2016
• 年：2016
• 卷：174
• 期：part_PB
• 页码：1156-1161
• 全文大小：774 K

文摘

Friction force and friction torque are important factor in dynamics characteristics of transmission system. But, it is very difficult to measure friction force and friction torque. Numerical method is very complex to consult the mathematic model and take more time to calculate. A method was proposed, numerical algorithm and support vector machines were combined to predict the friction force and the friction torque of helical gear. First, numerical method was constructed to calculate contact characteristics. Then the results were adopted as inputs for support vector machines to predict friction force and friction torque. The conclusion shows the results are direct utilization which came from the output of support vector machines. Since the results are available directly from the output of the numerical method. The proposed method provides the possibility to predict friction force and friction torque in Engineering.