Safeguarding pipeline integrity through stacked ensemble learning and data fusion
This research presents a novel approach to pipeline Structure Health Monitoring (SHM) by utilizing frequency response function signals and integrating advanced data-driven techniques to detect and evaluate vibration responses regarding loose bolts, scale deposits within pipelines, and cracks at pipe...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
John Wiley and Sons
2025
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/122638/1/122638.pdf http://psasir.upm.edu.my/id/eprint/122638/ https://onlinelibrary.wiley.com/doi/10.1002/msd2.12142 |
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