Fault diagnosis in an automatic laboratory

This project has applied Artificial Intelligence techniques to diagnose faults in an automatic sampling and preparation system in a Chemical laboratory- The expert system Mas written in microPROLOB to take advantage of the pattern matching and searching facilities as well as the ease of changing rules. A natural language interface was added to the system to enable those unskilled in the use of PROLOG to use the system-