DocumentCode :
2394556
Title :
Characterizing discrete event timing relationships for fault monitoring of manufacturing systems
Author :
Das, Sujit R. ; Holloway, Lawrence E.
Author_Institution :
Rockwell Autom., Milwaukee, WI, USA
fYear :
1996
fDate :
15-18 Sep 1996
Firstpage :
1012
Lastpage :
1018
Abstract :
The timing and sequencing relationships of changes (events) in discrete sensors and actuators can be used to determine whether a manufacturing system is operating as expected. In this paper, we present a method of learning inter-event timing relationships using observations from a correctly operating system. The observed sample statistics characteristic of correct system operation are used to create a confidence space of possible timing relationships (acceptable delay intervals) of the underlying system. Given a relative cost of false alarms vs. missed detections, the timing relationships can be chosen to minimize the worst case total of the false alarm and missed detection costs over the confidence space
Keywords :
actuators; discrete event systems; fault diagnosis; monitoring; observability; optimisation; production control; sensors; statistical analysis; confidence space; discrete actuators; discrete event timing; discrete sensors; false alarm; fault monitoring; inter-event timing; manufacturing systems; observations; sample statistics characteristic; Delay effects; Equations; Filling; Gaussian distribution; Manufacturing systems; Marine vehicles; Monitoring; Operating systems; Probability distribution; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1996., Proceedings of the 1996 IEEE International Conference on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-2975-9
Type :
conf
DOI :
10.1109/CCA.1996.559054
Filename :
559054
Link To Document :
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