Fault Detection Relevant, Neural Network and Evolutionary Algorithm based Model for a Single-shaft Industrial Gas Turbine

• Main Authors: Alemu Lemma, Tamiru, Rangkuti, Chalillullah, Mohd Hashim, Fakhruldin
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utp.edu.my/7390/
• Institution: Universiti Teknologi Petronas

Analytical redundancy based fault detection system generally requires an accurate model. Meeting this requirement for a system like an industrial gas turbine is quite difficult as it involves nonlinear energy and momentum exchange between the working fluid and stationary and rotating parts of the sy...