Method of multiple sources information fusion for complex system with small sample test based on ML-II theory
WU Lin-l · Computer Engineering and Applications Journal · 2014
The main characteristics of reliability information of complex system are small sample field test data and various available multiple sources prior information. For small sample reliability assessment by Bayes theory, in order to do as little as possible field test and obtain reasonable prior distribution, all kinds of prior information must be made full use. The method of multiple sources information fusion for complex system with small sample test based on the Maximum Likelihood estimate of the second kind(ML-II)theory is brought forward and a simulation analysis is carried out in allusion to torpedo homing system's effect distance. The results of simulation show that the fusion method is reasonable and effective.