Online expert systems for fault diagnosis in technical processes
| Autor: | Chrissanthi Angeli |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Computer science
business.industry computer.software_genre Fault (power engineering) Machine learning Expert system Fault detection and isolation Field (computer science) Theoretical Computer Science Computational Theory and Mathematics Artificial Intelligence Control and Systems Engineering Artificial intelligence business computer |
| Zdroj: | Expert Systems. 25:115-132 |
| ISSN: | 1468-0394 0266-4720 |
| DOI: | 10.1111/j.1468-0394.2008.00442.x |
| Popis: | It is generally accepted that there has been an increasing interest in online fault detection and diagnosis techniques for technical processes during the last few years. These techniques come from the artificial intelligence field or are classical numerical methods in combination with artificial intelligence methods. This paper presents a survey of recent research work in online expert systems for fault detection and diagnosis in technical processes. In addition, a short reference to other recent artificial intelligence methods for online fault detection is included and the main advantages and limitations of each method are illustrated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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