Qualitative dynamic diagnosis of circuits
| Autor: | Paolo Diana, Marco Perezzani, Alessandra Fanni, Alessandro Giua |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Engineering
Analogue electronics business.industry Boundary (topology) Control engineering computer.file_format Automation Industrial and Manufacturing Engineering Data conversion Set (abstract data type) Artificial Intelligence Systems architecture State (computer science) business Algorithm computer Electronic circuit |
| Zdroj: | Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 7:53-64 |
| ISSN: | 1469-1760 0890-0604 |
| DOI: | 10.1017/s0890060400000068 |
| Popis: | We describe ACDS, an automatic diagnostic system. ACDS is capable of diagnosing faults on analog circuits in dynamic conditions. The circuit's dynamic behavior is studied by means of a series of intrastate simulations during which the qualitative state of the circuit does not change. An acquistion board collects the value of a set of quantities corresponding to accessible test points. These measurements are converted into qualitative values and are used for two purposes: first, to determine the state of the circuit components; second, to trigger the diagnostic procedure whenever a discrepancy between observed and predicted behavior is found. The main difficulty in this phase of measurement interpretation is in obtaining meaningful numerical-qualitative data conversion for values of quantities approaching a boundary between two different qualitative intervals. System performance has been verified through a number of simulations, which have shown the proposed approach to be efficient both in terms of localized faults and of flexibility in adapting to different circuits. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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