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Proceedings of the 2010 International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2010)
By
International Association of Computer Science and Information Technology (IACSIT)
International Association of Computer Science and Information Technology (IACSIT)
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ISBN:
9780791859544
No. of Pages:
590
Publisher:
ASME Press
Publication date:
2010

When an operator first detects unusual and/or infrequent signals in an automation system over prolonged periods of time, however, the system seems to be ok. The operator need not do any thing, but must keep a certain level of attention to detect more serious signals for confirming the problems of the system. The ability to detect and track the following signals after the initial unusual signal is referred to as the extended vigilance. The purpose of this study was to develop a quantitative model for measuring the extended vigilance by fuzzy logic, which extends two-valued logic (“Yes” or “No” to determine hit or miss, correct rejection or false alarm) to multi-valued logic by membership functions of fuzzy sets. Then a fuzzy logical alarm system was developed for improving performance of extended vigilance in automation Supervisory task. The experimental results showed that the effect of the system is good for improving performance of extended vigilance.

Abstract
Key Words
1. Introduction
2. A Fuzzy Vigilance-Measuring Model
3. Alarm for Improving Extended Vigilance
4. Conclusion
Acknowledgement
References
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