|Institution:||University of Pretoria|
|Keywords:||MIR890; Refurbishment scheduling; Online Risk monitoring; Asset risk management; Probabilistic risk analysis; Turbine blades; UCTD|
|Full text PDF:||http://hdl.handle.net/2263/43783|
This dissertation addresses an alternative approach to time based inspections for low pressure (LP) turbines. It develops a decision model to assist in making improved decisions regarding the refurbishment and/or replacement of critical components of LP turbines. The paper explicates a methodology that has been developed and successfully evaluated, using risk management principles as well as documented root cause analysis results. The root causes were used to determine the parameters that should be monitored for the estimation of the likelihood of the risk. A verification of the suggested approach has been performed in relation to past forensic results.