Blade fault localization with the use of vibration signals through artificial neural network: a data-driven approach
Turbines are significant for extracting energy for petrochemical plants, power generation, and aerospace industries. However, it has been reported that turbine-blade failures are the most common causes of machinery breakdown. Therefore, numerous analyses have been performed to formulate techniques f...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
UPM Press
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/38233/1/Blade%20fault%20localization%20with%20the%20use%20of%20vibration%20signals%20through%20artificial%20neural%20network_.pdf |