Asset degradation model baselinening system and method

A method, comprising:

• receiving, via a processor included in a control system, data from a plurality of sensors coupled to machinery configured to produce power, the data corresponding to one or more parameters of the machinery;
• selecting, via the processor, one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the one or more parameters and the desired parameter, the one or more models representing a performance of a device of the machinery;
• generating, via the processor, the desired parameter using the data and the one or more models;
• performing, via the processor, regression analysis to update the one or more models using the data, the one or more models, and the desired parameter, wherein performing the regression analysis comprises calculating one or more coefficients;
• comparing, via the processor, the updated one or more models, the one or more coefficients, or any combination thereof to a baseline tuning, wherein the baseline tuning comprises determining a preferred value of the desired parameter in a particular operation condition of the machinery;
• determining, via the processor, an operational state of the device based on the comparison;
• and
• providing the operational state of the device to a user of the device.

A non-transitory, computer-readable medium comprising computer executable code comprising instructions configured to:

• receive, via a processor included in a control system, one or more parameters of a machinery configured to produce power, one or more desired parameters of the machinery, and one or more models that represent a determined relationship between the one or more parameters and the one or more desired parameters and a performance of one or more devices of the machinery;
• perform, via the processor, regression analysis to determine one or more coefficients to apply to the one or more models and adjust the one or more models using the one or more parameters, the one or more desired parameters, and the one or more models;
• compare, via the processor, the one or more adjusted models, the one or more coefficients, or any combination thereof to a baseline model, a baseline set of coefficients, or any combination thereof, wherein the baseline model comprises a baseline tuning comprising determining a preferred value of the one or more desired parameters in a particular operation condition of the machinery;
• determine, via the processor, an operational state of the one or more devices based on the comparison;
• adjust, via the processor, the baseline model, the baseline set of coefficients, or any combination thereof based on a result of the regression analysis;
• store, via the processor, the adjusted one or more models, the one or more coefficients, the adjusted baseline model, the adjusted baseline set of coefficients, or any combination thereof;
• and
• provide the operational state of the device to a user of the device.