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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Bibliographic Details

Main Authors:	Hussein, Hussein A. M., Abdul Rahim, Sharafiz, Mustapha, Faizal, Krishnan, Prajindra S.
Format:	Article
Language:	en
Published:	John Wiley and Sons 2025
Subjects:	Mechanical Engineering Control and Systems Engineering
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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