DocumentCode :
2506112
Title :
Evaluation of diagnosability of failure knowledge in manufacturing systems
Author :
Chang, Shaw Jen ; DiCesare, Frank ; Goldbogen, Geoffrey
Author_Institution :
Rensselaer Polytech. Inst., Troy, NY, USA
fYear :
1990
fDate :
13-18 May 1990
Firstpage :
696
Abstract :
The authors focus on the diagnostic step of the error recovery process in manufacturing systems and develop theories for evaluating the diagnosability of failure knowledge in manufacturing systems. The theories are based on the action-error-feature data set, described previously by the authors (1989). The definition of one-error diagnosability and the necessary and sufficient conditions for multiple-error diagnosability are given. A simple matrix operation, called covering analysis, for testing the conditions is also presented. The methodology provides a qualitative measure for the embedded diagnostic knowledge in terms of the ability to diagnose the number of multiple simultaneous errors in the system. This provides the diagnosability of the model and the feasibility of the computation, because the covering analysis is simple and at most two analyses are required to determine multiple-fault diagnosability. A discussion of the results obtained and simple examples to illustrate those results are presented
Keywords :
failure analysis; manufacturing computer control; system recovery; error recovery process; failure knowledge; manufacturing systems; multiple-error diagnosability; necessary and sufficient conditions; one-error diagnosability; Computer aided manufacturing; Computer errors; Knowledge engineering; Manufacturing systems; Productivity; Pulp manufacturing; Robots; Systems engineering and theory; Technology transfer; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on
Conference_Location :
Cincinnati, OH
Print_ISBN :
0-8186-9061-5
Type :
conf
DOI :
10.1109/ROBOT.1990.126066
Filename :
126066
Link To Document :
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