A system for controlling an operation of a combustor (13,30) in a gas turbine, the system comprising: the combustor (13,30); an acoustic sensor configured to periodically measure a pressure of the combustor (13,30) and generate a raw data stream that comprises pressure data points resulting from the periodic measurement of the pressure; and a blowout detection unit configured to receive the raw data stream from the acoustic sensor; wherein the blowout detection unit comprises a processor and a machine-readable storage medium on which is stored instructions that cause the processor to execute a procedure related to a detection of a blowout precursor; and wherein the procedure comprises an ensemble approach in which the detection of the blowout precursor depends upon a plurality of outcomes generated respectively from a plurality of separate detection analytics, characterized in that the plurality of separate detection analytics of the ensemble approach comprises at least two selected from the following detection analytics: a first detection analytic that comprises a calculation as to whether a selected pressure data point of the pressure data points within the raw data stream varies from a steady state condition, wherein the steady state condition is defined by the pressure data points of the raw data stream that fall within a look-back period that precedes the selected pressure data point; a second detection analytic that comprises a calculation of a standard deviation for the pressure data points of the raw data stream within the look-back period; a third detection analytic that comprises calculating an entropy value related to an entropy feature of the pressure data points of the raw data stream within the look-back period; and a fourth detection analytic that comprises a manifold anomaly detection approach that includes calculating a value of an anomaly indicator that is based on a pattern formed when the pressure data points of the raw data stream within the look-back period are projected onto a manifold shape. the combustor (13,30); an acoustic sensor configured to periodically measure a pressure of the combustor (13,30) and generate a raw data stream that comprises pressure data points resulting from the periodic measurement of the pressure; and a blowout detection unit configured to receive the raw data stream from the acoustic sensor; wherein the blowout detection unit comprises a processor and a machine-readable storage medium on which is stored instructions that cause the processor to execute a procedure related to a detection of a blowout precursor; and wherein the procedure comprises an ensemble approach in which the detection of the blowout precursor depends upon a plurality of outcomes generated respectively from a plurality of separate detection analytics, characterized in that the plurality of separate detection analytics of the ensemble approach comprises at least two selected from the following detection analytics: a first detection analytic that comprises a calculation as to whether a selected pressure data point of the pressure data points within the raw data stream varies from a steady state condition, wherein the steady state condition is defined by the pressure data points of the raw data stream that fall within a look-back period that precedes the selected pressure data point; a second detection analytic that comprises a calculation of a standard deviation for the pressure data points of the raw data stream within the look-back period; a third detection analytic that comprises calculating an entropy value related to an entropy feature of the pressure data points of the raw data stream within the look-back period; and a fourth detection analytic that comprises a manifold anomaly detection approach that includes calculating a value of an anomaly indicator that is based on a pattern formed when the pressure data points of the raw data stream within the look-back period are projected onto a manifold shape. a first detection analytic that comprises a calculation as to whether a selected pressure data point of the pressure data points within the raw data stream varies from a steady state condition, wherein the steady state condition is defined by the pressure data points of the raw data stream that fall within a look-back period that precedes the selected pressure data point; a second detection analytic that comprises a calculation of a standard deviation for the pressure data points of the raw data stream within the look-back period; a third detection analytic that comprises calculating an entropy value related to an entropy feature of the pressure data points of the raw data stream within the look-back period; and a fourth detection analytic that comprises a manifold anomaly detection approach that includes calculating a value of an anomaly indicator that is based on a pattern formed when the pressure data points of the raw data stream within the look-back period are projected onto a manifold shape.