Structural health monitoring on pipeline system using unsupervised machine learning algorithm
Pipeline network system has been the most vital infrastructure for several needs ranging from residential, industrial, oil and gas, aerospace, automotive and many more. However, such system is also vulnerable to defects at some point during its lifespan. Therefore, a proper structural health monitor...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2021
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| Online Access: | http://eprints.utm.my/id/eprint/102004/1/MuhammadNazrifZamaniMSKA2021.pdf http://eprints.utm.my/id/eprint/102004/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:145906 |
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