System Reliability Calculation Based on RBF Neural Network
In order to improve the calculation accuracy of structural system failure probability, RBF neural networks which is based on the failure probability data calculated accurately can simulate into the four-dimensional space neural network of a single output neuron and three input neurons because system failure probability is related to reliability index, failure mode number and the correlation coefficient among the failure modes. As long as the networks meet the accuracy requirements and the training is completed, calculating neural network of system failure probability comes into being. The vector which is formed by the reliability index, failure mode number and the correlation coefficient is fed into the neural network, and then the probability of system failure can be accurately figured out. This method has high precision, the computational efficiency of fast and practical value in engineering calculations.
neural network system reliability failure mode failure probability calculation
HAN Yanbin BAI Guangchen LI Xiaoying
School of Jet Propulsion Beijing University of Aeronautics & Astronautics Beijing, China Computer and Automatic Control College Hebei Polytechnical University Tangshan, China
国际会议
太原
英文
34-39
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）