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

fYear

2009

fDate

20-24 July 2009

Firstpage

382

Lastpage

385

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICRMS.2009.5270166

Filename

5270166