Title :
A multi-level diagnosis methodology for complex systems
Author :
Yu, Xudong ; Biswas, Gautam
Author_Institution :
Dept. of Comput. Sci., Vanderbilt Univ., Nashville, TN, USA
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;
Conference_Titel :
Artificial Intelligence for Applications, 1992., Proceedings of the Eighth Conference on
Conference_Location :
Monterey, CA
Print_ISBN :
0-8186-2690-9
DOI :
10.1109/CAIA.1992.200014
