An artificial neural network modeling for pipeline corrosion growth prediction
Corrosion defect assessment becoming a forte issue in pipeline reliability assessment to accurately predict the severity of its condition. Due to the uncertainties inherit from the pipeline inspection at present, statistical model use to model the corrosion growth apply a correctional methods to red...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Asian Research Publishing Network
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/57741/ |
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| Institution: | Universiti Teknologi Malaysia |