1 March 1992 Knowledge-based diagnostic problem solving and learning in the test area of electronics assembly manufacturing
Author Affiliations +
A critical area in electronics assembly manufacturing is the test and repair area. Computerized decision aids at this area can facilitate enhanced system performance. A key to developing computer-based aids is gaining an understanding of the human problem solving process in the complex task of troubleshooting in electronics manufacturing. In this paper, we present a computational model of troubleshooting and learning in electronics assembly manufacturing. The model is based on a theory of knowledge representation, reasoning, and learning, which is grounded in observations of human problem solving. The theory provides a foundation for developing applications of AI in complex, real world domains.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Narayanan, S. Narayanan, Ashwin Ram, Ashwin Ram, Sally M. Cohen, Sally M. Cohen, Christine M. Mitchell, Christine M. Mitchell, T. Govindaraj, T. Govindaraj, "Knowledge-based diagnostic problem solving and learning in the test area of electronics assembly manufacturing", Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); doi: 10.1117/12.56876; https://doi.org/10.1117/12.56876


Extending the GDE paradigm to physiology
Proceedings of SPIE (February 29 1992)
Intelligent Tutor For Elementary Spanish
Proceedings of SPIE (March 25 1986)
Probabilistic model-based diagnosis system
Proceedings of SPIE (February 29 1992)
Cognitive mapping as a knowledge engineering tool
Proceedings of SPIE (February 29 1992)

Back to Top