Title :
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
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;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.385
