Method, System and Program Product for Intelligent Prediction of Industrial Gas Turbine Maintenance Workscope

A computer-implemented maintenance/repair workscope development tool uses one or more sources of gas turbine engine/fleet operational condition data, gas turbine engine/fleet historical data and gas turbine engine/fleet specific information, including other historical, statistical and maintenance/engineering records data to develop a recommended maintenance/repair workscope. A method, system and program product are described for producing a recommended maintenance/repair workscope for individual machines and/or machines on a fleet level. Relevant domain knowledge/information models along with appropriate application rules defining maintenance/repair requirements are predetermined and maintained in a network accessible database/repository. A rules/reasoner engine is used to develop logical inferences and make intelligent workscope choices based upon user input situational data, operational condition data stored in data/information databases and the predetermined knowledge/information models and rules. A disclosed non-limiting example workscope prediction/recommendation tool develops quantitative recommendations for the type of work needed to be performed to an individual gas turbine engine or an entire fleet.