Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for detecting shifts in redundant sensor signals. According to an example embodiment of the invention, a method is provided for detecting and indicating a shift in redundant sensor signals. The method can include receiving a sensor channel closeness signal for two or more redundant sensors, receiving a spike confidence signal for at least one of the two or more redundant sensors, receiving a spike duration signal for the at least one of the two or more redundant sensors, determining a shift confidence based at least in part on the received sensor channel closeness signal, the received spike confidence signal, and the received spike duration signal, and outputting the shift confidence.

Abstract: Systems and methods of determining a flame state within a combustor of a turbine engine make use of characteristics of an output pressure of a compressor of the turbine engine and a temperature of exhaust gases of the turbine engine to make a determination. If the first and/or second derivatives of the output pressure of the compressor and the first and/or second derivatives of the exhaust gas temperature of the turbine engine are all positive during at least portions of a predetermined period of time, one can determine that a flame has ignited in the combustor. If those values are negative during at least portions of a predetermined period of time, one can determine that a flame has been extinguished in the combustor.

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for detecting shifts in redundant sensor signals. According to an example embodiment of the invention, a method is provided for detecting and indicating a shift shift in redundant sensor signals. The method can include receiving a sensor channel closeness signal for two or more redundant sensors, receiving a spike confidence signal for at least one of the two or more redundant sensors, receiving a spike duration signal for the at least one of the two or more redundant sensors, determining a shift confidence based at least in part on the received sensor channel closeness signal, the received spike confidence signal, and the received spike duration signal, and outputting the shift confidence.

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for detecting and removing impulse disturbances associated with a sensor signal. According to an example embodiment, a method is provided for detecting and removing impulse disturbances associated with a sensor signal. The method can include receiving signal samples from a sensor, detecting an impulse disturbance when a difference magnitude between a current sample and a previous impulse-free sample is greater than a predetermined threshold value, and outputting the previous impulse-free sample when an impulse disturbance is detected.

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for detecting irregular sensor signal noise. According to an example embodiment of the invention, a method is provided for determining reliability of a sensor. The method may include receiving signal samples associated with a sensor; receiving an expected standard deviation value (508) associated with the sensor; estimating noise standard deviation of the signal samples (504) based at least upon a difference between the received sensor samples and predicted sensor signal values; and outputting a noise confidence value based at least in part on a first ratio between the estimated noise standard deviation and the expected standard deviation value.

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for signal processing-based fault detection, isolation and remediation. According to an example embodiment of the invention, a method is provided for detecting and remediating sensor signal faults. The method may include monitoring data received from one or more sensors; determining confidence values for one or more parameters associated with the one or more sensors based at least in part on the monitored data; determining a combined confidence for each of the one or more sensors; and outputting a remediated value and status based at least in part on the monitored data and the combined confidences.