Abstract
The discrete-event nature of on-line data from an automated manufacturing system offers many challenges for on-line fault detection. In this paper, the template monitoring method is developed as a simple but versatile method of using discrete event signals for fault monitoring of manufacturing systems. This monitoring method is easily distributable, suitable for monitoring highly concurrent systems, and has low computational requirements. This paper describes template monitoring using event observations, and demonstrates a method for automatically generating template monitoring models from timed automata specifications.
Original language | English |
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Pages (from-to) | 244-254 |
Number of pages | 11 |
Journal | Integrated Computer-Aided Engineering |
Volume | 3 |
Issue number | 4 |
DOIs | |
State | Published - 1996 |
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Computer Science Applications
- Computational Theory and Mathematics
- Artificial Intelligence