Remaining useful life prediction of a piping system using artificial neural networks: A case study
Oil producers or operators such as Shell, Petronas, Petron, Chevron, and Lukoil have always placed their equipment as the highest priority for operations. Still, the study shows that many failures in the facility associated with piping systems lead to billions of dollars� loss. In the oil and gas...
| Main Authors: | Shaik, N.B., Pedapati, S.R., B A Dzubir, F.A. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23714 / |
| Published: |
Ain Shams University
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110458516&doi=10.1016%2fj.asej.2021.06.021&partnerID=40&md5=10669608ce663175c15308ffd8b3ff58 http://eprints.utp.edu.my/23714/ |
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