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Degradation estimation of high energy steam piping using hybrid recurrent neural networks

Dissertation (MEng)--University of Pretoria, 2018.

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Bibliographic Details
Other Authors:	Heyns, P.S. (Philippus Stephanus)
Format:	Thesis
Language:	English
Published:	University of Pretoria 2018
Subjects:	UCTD High energy steam pipework Creep degradation estimation Power plant Machine learning Pipe elevation survey Engineering, built environment and information technology theses SDG-07 SDG-07: Affordable and clean energy Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production
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Internet

http://hdl.handle.net/2263/66253