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| Author: | Ye, N. Zhao, B. |
| Title: | A hybrid intelligent system for fault diagnosis of advanced manufacturing system (Fertigungskontrolle, Fehlerkontrolle, Entscheidungshilfe) |
| Journal: | International Journal of Production Research
1996 : FEB, VOL. 34:2, p. 555-576 |
| Index terms: | |
| Language: | eng |
| Abstract: | Fault diagnosis of highly automated manufacturing systems presents considerable difficulty to the human operator. A decision support is highly desirable. Many neural networks have been developed for diagnostic decision support. However, those neural networks have difficulty in distinguishing fault events that share a common symptom pattern. A hybrid intelligent system is developed that overcomes these problems. It integrates neural networks with a procedural decision making algorithm to implement hypothesis test cycles of system fault diagnosis. |
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