Enhancing Pipeline Reliability Analysis through Machine Learning: A Focus on Corrosion and Fluid Hammer Effects
Natural gas, known for its cleanliness and cost-effectiveness, is transported across vast distances through pipelines. However, the safety concerns that arise from potential ruptures or leaks in these pipelines pose serious threats to the environment and human safety. This paper assesses the reliabi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ram Arti Publishers
2025-04-01
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| Series: | International Journal of Mathematical, Engineering and Management Sciences |
| Subjects: | |
| Online Access: | https://www.ijmems.in/cms/storage/app/public/uploads/volumes/16-IJMEMS-24-0500-10-2-285-299-2025.pdf |
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