HYBRID DEEP FAULT DETECTION AND ISOLATION: COMBINING DEEP NEURAL NETWORKS AND SYSTEM PERFORMANCE MODELS
With the increased availability of condition monitoring data on the one hand and the increased complexity of explicit system physics-based models on the other hand, the application of data-driven approaches for fault detection and isolation has recently grown. While detection accuracy of such approa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Prognostics and Health Management Society
2019-12-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: |