Diagnosability and sensor reduction

Author

Scarl, Ethan

Author_Institution

Adv. Technol. Center, Boeing Comput. Services, Seattle, WA, USA

fYear

1991

fDate

1-2 Apr 1991

Firstpage

142

Lastpage

146

Abstract

Device-centered model-based reasoning (MBR) models are used to determine the diagnosability of individual components and of the system as a whole. Given a satisfactory device-centered model that can be used dependably for diagnosis, the author first considers the specification of diagnosability for individual components. This is expressed through uniqueness requirements for the isolation of faults in those components. The diagnosability of the system as a whole is a composite of the diagnosability of its components. This leads one to a criterion for determining the diagnostic value to the system of individual sensors. This criterion permits the maximization of system diagnosability with a fixed number of sensors or, conversely, minimizing the number of sensors required to achieve a given standard of system diagnosability

Keywords

automatic testing; fault location; inference mechanisms; device-centered model; fault diagnosis; model based reasoning; sensor reduction; system diagnosability; Analytical models; Artificial intelligence; Design for testability; Inference mechanisms; Power system modeling; Probes; Sensor phenomena and characterization; Sensor systems; Space stations; Standards development;

fLanguage

English

Publisher

ieee

Conference_Titel

AI, Simulation and Planning in High Autonomy Systems, 1991. Integrating Qualitative and Quantitative System Knowledge, Proceedings of the Second Annual Conference on

Conference_Location

Cocoa Beach, FL

Print_ISBN

0-8186-2162-1

Type

conf

DOI

10.1109/AIHAS.1991.138460

Filename

138460