A novel blade fault diagnosis using a deep learning model based on image and statistical analysis
Artificial intelligence technology has a high potential for machinery fault detection and diagnosis. Blade component failure is the main type of failure that usually occur in gas turbine and this component tends to fail unexpectedly. Detection and diagnosis of blade components are different with gea...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2022
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| Subjects: |