Design and Implementation of Intelligent Diagnostic System Based on AI-ESTATE

Author

Luo, Jin ; Su, Zhen-Zhong

Author_Institution

Dept. of Missile Eng., Ordnance Eng. Coll., Shijiazhuang, China

fYear

2011

fDate

25-27 April 2011

Firstpage

237

Lastpage

240

Abstract

To enhance the reusability of the TPS and diagnostics method of the ATS, a way to decouple the diagnosis from the test is needed. AI-ESTATE is a new set of IEEE standard services designed to support Artificially Intelligent diagnostic reasoners running in an ATS environment. This paper brings forward a method that building a component-based ATS fault diagnosis system based on AI-ESTATE to decouple the diagnosis from the test, and expatiates the key technologies for system realization. To achieve the portability and interactive operation of AI-ESTATE diagnosis system, the function of AI-ESTATE inference engine service is analyzed. In different diagnosis environment, standardizing and effect in diagnosis process of inference engine service are analyzed.

Keywords

IEEE standards; automatic testing; diagnostic expert systems; fault diagnosis; inference mechanisms; interactive systems; software portability; software reusability; AI-ESTATE diagnosis system; AI-ESTATE inference engine service; ATS diagnostics method; IEEE standard services; TPS reusability; artificially intelligent diagnostic reasoners; component-based ATS fault diagnosis system; intelligent diagnostic system; interactive operation; portability; Artificial intelligence; Cognition; Context modeling; Data models; Databases; Load modeling; Object oriented modeling; AI-ESATE; ATS; Component Technology; Fault Diagnosis;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing (ICIC), 2011 Fourth International Conference on

Conference_Location

Phuket Island

Print_ISBN

978-1-61284-688-0

Type

conf

DOI

10.1109/ICIC.2011.48

Filename

5954549