A multi-level diagnosis methodology for complex systems

Author

Yu, Xudong ; Biswas, Gautam

Author_Institution

Dept. of Comput. Sci., Vanderbilt Univ., Nashville, TN, USA

fYear

1992

fDate

2-6 Mar 1992

Firstpage

81

Lastpage

87

Abstract

A multi-level approach is discussed for robust diagnosis of complex continuous-valued engineering systems. The focus of the research was on component-oriented diagnosis. The diagnosis system consists of two modules: an associational module, based on heuristic knowledge gained from manuals and expert mechanics, which generates partial decision trees for mechanics to study and conduct further tests, and a model-based diagnosis module that incorporates schematic, functional, and behavioral knowledge for fault isolation and measurement selection. The architecture of the diagnosis system is presented. A key component of this system is the global controller that coordinates the activities between the two diagnostic modules. A successful prototype for diagnosing problems in the pneumatic system of a DC-10 aircraft has been implemented

Keywords

aerospace computing; failure analysis; inference mechanisms; knowledge based systems; mechanical engineering computing; DC-10 aircraft; associational module; behavioral knowledge; complex continuous-valued engineering systems; component-oriented diagnosis; diagnostic modules; expert mechanics; fault isolation; global controller; heuristic knowledge; manuals; measurement selection; model-based diagnosis module; multi-level diagnosis methodology; partial decision trees; pneumatic system; robust diagnosis; Control systems; Decision trees; Fault diagnosis; Gain measurement; Mechanical variables measurement; Pneumatic systems; Prototypes; Robustness; System testing; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence for Applications, 1992., Proceedings of the Eighth Conference on

Conference_Location

Monterey, CA

Print_ISBN

0-8186-2690-9

Type

conf

DOI

10.1109/CAIA.1992.200014

Filename

200014