Modeling method of machine joints´ tangential contact damping based on BP neural network

Author

Xueliang, Zhang ; Shuhua, Wen ; Yumei, Huang

Author_Institution

Taiyuan Heavy Machinery Inst., China

Volume

2

fYear

2000

fDate

2000

Firstpage

1139

Abstract

To realize the unified modeling of machine joints´ tangential contact damping under multijoint conditions, the description method of the basic influencing factors´ characteristics of machine joints´ tangential contact damping is discussed. Then, the concepts of dynamic-intelligent neuron, generalized-intelligent BP network and generalized intelligent BP algorithm are proposed. On this basis, the unified modeling method of machine joints´ tangential contact damping under multijoint conditions is put forward based on artificial neural network technology. This is proved feasible by the given modeling example. This modeling method has the characteristics of both a traditional modeling method and the building of a database

Keywords

backpropagation; damping; feedforward neural nets; mechanical contact; structural engineering computing; BP neural network; backpropagation; dynamic-intelligent neuron; generalized intelligent BP network; machine joint tangential contact damping modeling; multijoint conditions; Artificial intelligence; Artificial neural networks; Damping; Databases; Intelligent networks; Joining materials; Machine intelligence; Machinery; Neural networks; Optimization methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on

Conference_Location

Hefei

Print_ISBN

0-7803-5995-X

Type

conf

DOI

10.1109/WCICA.2000.863419

Filename

863419