that fall into u201c suspect u201d categories e g u201c red u201d or u201c yellow u201d are tagged for further analysis to identify potential operational problems ultimately the combined overall numerical quality assessment as well as the quality assessment of signals parameters that fall into suspect categories are tracked over time to provide an early warning and identification of component or system degradation component and system modifications and potential failures as indicated in block 160 in fig2 a process flow diagram illustrates example procedural blocks implemented by a computer or system controller for developing a u201c unit specific u201d signature for an operational event occurring on a single turbine machine at a turbine system site at any one particular turbine system site the turbine system may include more than one turbine machine unit this process may be implemented by a computer located at the turbine system site such as the local turbine controller or it may be implemented by a remotely located processing system which receives data from the turbine controller initially as indicated at procedural block 200 it is determined whether any particular quality category range or u201c boundary u201d information exists for sensor data originating from the specific turbine system site being assessed as indicated at block 201 if no site specific quality category ranges or boundary information exists a.