Title :
The method of multi-source information fusion based on parametric consistency test
Author :
Jiang, Ying-Jie ; Yan, Zhi-Qiang ; Xie, Hong-Wei
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
The consistency test between prior information and field information using parametric method is investigated. A method to compute fitting goodness is presented. The case when there are multi-source prior information is discussed. Based on the fitting goodness, a new method is provided to determine the weighting factor of each prior distribution. Corresponding analysis is performed, when the product belongs to the type of failure-success and exponential-life. At last, two examples show the feasibility of this method.
Keywords :
Bayes methods; gamma distribution; military computing; sensor fusion; weapons; Bayesian method; fitting goodness; gamma distribution; multisource information fusion method; parametric consistency test; unified prior distribution; weapon reliability evaluation; Automatic testing; Automation; Bayesian methods; Distributed computing; Educational institutions; Equations; Failure analysis; Inspection; Mechatronics; Performance analysis; bayesian method; consistency test; fitting goodness; multi-source information fusion;
Conference_Titel :
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4903-3
Electronic_ISBN :
978-1-4244-4905-7
DOI :
10.1109/ICRMS.2009.5270166
