Parameter Estimation of Reliability Model of Hydraulic System for Vibratory Roller Based on Adaptive Linear Neural Network

Author

Heqing Li ; Qing Tan

Author_Institution

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

Volume

1

fYear

2008

fDate

20-22 Oct. 2008

Firstpage

218

Lastpage

221

Abstract

Aimed at reliability model of hydraulic system of the vibratory roller, combined adaptive linear neural network technique with system reliability engineer theory, a way for parameter estimation of reliability model based on adaptive linear neural network was developed. The model parameters and function of reliability for the first fault time of hydraulic system of the vibratory roller was gained by this means. The parameters estimation of the reliability model could quickly obtained if the life data of the known probability distribution was input to the model of the adaptive linear neural network. Compared with graphic method and analytic method, this method was operated more easily in the engineering.

Keywords

hydraulic systems; mechanical engineering computing; neural nets; parameter estimation; rollers (machinery); adaptive linear neural network; graphic method; hydraulic system; parameter estimation; probability distribution; system reliability engineer theory; vibratory roller; Adaptive systems; Artificial neural networks; Biological neural networks; Hydraulic systems; Neural networks; Neurons; Parameter estimation; Reliability theory; Transfer functions; Vectors;

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.2008.377

Filename

4659476