This reviews three expert systems (ATEOPS, ATEFEXPERS, and ATEFATLAS) created to direct automatic test equipment (ATE). Each expert system uses a different knowledge base or inference engine and base their testing on the circuit schematic, test requirements document (TRD), or ATLAS code. Implementing generalized modules allows the expert systems to be used for any different unit under test. These expert systems give some insight into the necessary knowledge bases and inference engines needed to have an expert system direct ATE. Using converted ATLAS to LISP code allows the expert system to direct any ATE using ATLAS. The constraint propagated frame system allows for the expansion of control by creating the ATLAS code, checking the code for good software engineering techniques, directing the automatic test equipment, and changing the test sequences as needed (planning).
Diagnosis: Using automatic test equipment and artificial intelligence expert systems
Diagnose: Einsatz von automatischen Pruefeinrichtungen und Spezialsysteme mit kuenstlicher Intelligenz
1985
6 Seiten, 2 Quellen
Conference paper
English
Artificial Intelligence and Expert Systems for Avionics
British Library Conference Proceedings | 1993
|Artificial intelligence and expert systems: a technology update
Tema Archive | 1994
|Artificial Intelligence Applied to Audio Systems Diagnosis
SAE Technical Papers | 1986
|Artificial Intelligence Applied to Audio Systems Diagnosis
Automotive engineering | 1986
|