Methods and apparatus to generate a predictive asset health quantifier of a turbine engine

A method, comprising:

• obtaining asset monitoring information, the asset monitoring information comprising asset sensor data obtained by at least one sensor associated with a turbine engine;
• calculating asset parameters associated with the turbine engine based on the asset monitoring information;
• generating a reference performance model based on the asset parameters associated with the turbine engine;
• calculating deviations based on a comparison of an operator behavior to the reference performance model, the operator behavior quantifying how an operator of the turbine engine has used the turbine engine in operation;
• generating one or more severity models based on the asset parameters and the deviations, the one or more severity models comprising a plurality of severity models being generated based on a mapping of an asset health quantifier associated with the turbine engine to a severity factor, the severity factor comprising the operator behavior, wherein the one or more severity models are configured to estimate an effect of the operator behavior on the asset health quantifier;
• identifying an operator as a candidate improvement target based on the one or more severity models;
• generating a report including a candidate improvement plan for the operator identified as the candidate improvement target;
• and
• triggering generation of a workscope for the turbine engine based on the report.

A non-transitory computer readable storage medium comprising instructions, which when executed, cause a machine to at least:

• obtain asset monitoring information, the asset monitoring information comprising asset sensor data obtained by at least one sensor associated with a turbine engine;
• calculate asset parameters associated with the turbine engine based on the asset monitoring information;
• generate a reference performance model based on the asset parameters associated with the turbine engine;
• calculate deviations based on a comparison of an operator behavior to the reference performance model, the operator behavior quantifying how an operator of the turbine engine has used the turbine engine in operation;
• generate one or more severity models based on the asset parameters and the deviations, the one or more severity models comprising a plurality of severity models being generated based on a mapping of an asset health quantifier associated with the turbine engine to a severity factor, the severity factor comprising the operator behavior, wherein the one or more severity models are configured to estimate an effect of the operator behavior on the asset health quantifier;
• identify an operator as a candidate improvement target based on the reference performance model and the one or more severity models;
• generate a report including a candidate improvement plan for the operator identified as the candidate improvement target, the candidate improvement plan comprising adjustments to the operator behavior;
• and
• trigger generation of a workscope for the turbine engine based on the report.