Normalized Radial Basis Function Networks Applied to Exergy, NOx, and Creep Life Prediction in an Industrial Gas Turbine

• Main Authors: Alemu Lemma, Tamiru, Mohd Hashim, Fakhruldin
• Format: Conference or Workshop Item
• Published: 2011
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utp.edu.my/7388/
• Institution: Universiti Teknologi Petronas

Normalized Radial Basis Function Networks (NRBFN) are known to have good interpolation and extrapolation characteristics. The purpose of the present work is to show the use of NRBFN for capturing exergy, NOx and creep life trends in a gas turbine generator. The models cover the whole operating regio...