摘要:
A server for use in selecting a workscope for a system includes a prediction tool configured to identify a plurality of workscopes for the system, wherein each workscope defines a plurality of maintenance activities for a plurality of components of the system. The server also includes a financial model tool coupled to the prediction tool, and an analyzer tool coupled to the prediction tool and the financial model tool. The financial model tool is configured to receive the plurality of workscopes and determine an expected financial impact of the maintenance activities of each workscope for a plurality of future maintenance events. The analyzer tool is configured to receive the plurality of workscopes from the prediction tool, receive the expected financial impact of the maintenance activities from the financial model tool, and determine an expected effect of each workscope during a predefined time interval that includes the future maintenance events.
摘要:
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.