Recognition of Reliability Model of Vibratory Roller Based on Artificial Neural Network

Author

Li, Heqing ; Tan, Qing

Author_Institution

Sch. of Mech. & Electr. Eng., Center South Univ., Changsha

Volume

1

fYear

2008

fDate

20-22 Oct. 2008

Firstpage

231

Lastpage

234

Abstract

Aimed at the reparable characteristic of the vibratory roller, a method of recognition of the reliability model of the vibratory roller based on the BP neural network was proposed, by means of theory of artificial neural network with Matlab and reliability engineering theory. The result obtained from the testing shows recognition rate is satisfactory. The distribution model of the vibrator roller shall gained by this means if the life data of the vibrator were known. An example is presented to validate this method. In this paper, purpose is to apply the artificial intelligence to studying the reliability of the vibratory roller.

Keywords

mechanical engineering computing; neural nets; reliability theory; BP neural network; Matlab; artificial neural network; reliability engineering theory; reliability model; vibratory roller; Artificial intelligence; Artificial neural networks; Character recognition; Computer network reliability; Mathematical model; Mechanical products; Neural networks; Neurons; Reliability theory; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on

Conference_Location

Hunan

Print_ISBN

978-0-7695-3357-5

Type

conf

DOI

10.1109/ICICTA.2008.385

Filename

4659479