A distress detection system comprising: a data repository operable to collect a plurality of sensor data from a gas turbine engine ; and an analysis system comprising a processing system configured to: access a first parameter of a lubrication system of the gas turbine engine from the data repository; access a second parameter of the lubrication system of the gas turbine engine from the data repository; apply a plurality of fuzzy reasoning rules to evaluate a combination of the first parameter and the second parameter to determine an in-range interaction with respect to a second system of the gas turbine engine as a plurality of fuzzy metric data points, the second system comprising a burner configured to combust fuel in the gas turbine engine; classify the burner as being in distress based on comparing the fuzzy metric data points to a limit line while the first parameter and the second parameter are both within a valid operating range defined by set failure mode detection limits; and assert a component distress indicator responsive to classifying the burner as being in distress; wherein the lubrication system is thermally cross-coupled to the second system absent a mechanical linkage, an electrical linkage, and a fluid linkage between the lubrication system and the second system. a data repository operable to collect a plurality of sensor data from a gas turbine engine ; and an analysis system comprising a processing system configured to: access a first parameter of a lubrication system of the gas turbine engine from the data repository; access a second parameter of the lubrication system of the gas turbine engine from the data repository; apply a plurality of fuzzy reasoning rules to evaluate a combination of the first parameter and the second parameter to determine an in-range interaction with respect to a second system of the gas turbine engine as a plurality of fuzzy metric data points, the second system comprising a burner configured to combust fuel in the gas turbine engine; classify the burner as being in distress based on comparing the fuzzy metric data points to a limit line while the first parameter and the second parameter are both within a valid operating range defined by set failure mode detection limits; and assert a component distress indicator responsive to classifying the burner as being in distress; access a first parameter of a lubrication system of the gas turbine engine from the data repository; access a second parameter of the lubrication system of the gas turbine engine from the data repository; apply a plurality of fuzzy reasoning rules to evaluate a combination of the first parameter and the second parameter to determine an in-range interaction with respect to a second system of the gas turbine engine as a plurality of fuzzy metric data points, the second system comprising a burner configured to combust fuel in the gas turbine engine; classify the burner as being in distress based on comparing the fuzzy metric data points to a limit line while the first parameter and the second parameter are both within a valid operating range defined by set failure mode detection limits; and assert a component distress indicator responsive to classifying the burner as being in distress; wherein the lubrication system is thermally cross-coupled to the second system absent a mechanical linkage, an electrical linkage, and a fluid linkage between the lubrication system and the second system. <EOS>