Title :
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
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;
Conference_Titel :
Information and Computing (ICIC), 2011 Fourth International Conference on
Conference_Location :
Phuket Island
Print_ISBN :
978-1-61284-688-0
DOI :
10.1109/ICIC.2011.48
