Abstract: A gas turbine engine provides mechanical shaft power. Two parameters relating to engine operation are sensed that are representative of two different pressures, two different temperatures, or a pressure and a temperature associated with the engine. A value representative of the shaft power is determined during engine operation as a function of these two parameters. This value may be used for engine monitoring including making one or more adjustments to operational aspects of the engine, regulating/controlling engine function, and/or providing one or more power indicators.

Abstract: A system for actively controlling the working line location within a low pressure compressor. The system includes a plurality of variable inlet guide vanes that are adjusted to maintain the working line at a constant level as the low pressure compressor rotates at a constant speed.

Abstract: A gas turbine engine provides mechanical shaft power. Two parameters relating to engine operation are sensed that are representative of two different pressures, two different temperatures, or a pressure and a temperature associated with the engine. A value representative of the shaft power is determined during engine operation as a function of these two parameters. This value may be used for engine monitoring including making one or more adjustments to operational aspects of the engine, regulating/controlling engine function, and/or providing one or more power indicators.

Abstract: A system for actively controlling the working line location within a low pressure compressor. The system includes a plurality of variable inlet guide vanes that are adjusted to maintain the working line at a constant level as the low pressure compressor rotates at a constant speed.

Abstract: A fuzzy logic estimator for minimizing signal measuring inaccuracy effects in a signal processing system preferably includes a microprocessor-based system operable to receive a number of measured signal values and estimate a solution to an overdetermined system of equations that minimizes differences between the measured signal values and corresponding model values. The fuzzy logic solution estimate process includes assigning a probability distribution to delta values representing differences between the measured signal values and corresponding model values to form a corresponding number of probability distribution functions, associating at least some of the probability distribution functions with each equation of a system of equations defining a number of unknown parameter values, solving the system of equations for a domain of possible solutions, and determining a unique solution for the unknown parameter values from the domain of possible solutions.

Abstract: A fuzzy logic estimator for minimizing signal measuring inaccuracy effects in a signal processing system preferably includes a microprocessor-based system operable to receive a number of measured signal values and estimate a solution to an overdetermined system of equations that minimizes differences between the measured signal values and corresponding model values. The fuzzy logic solution estimate process includes assigning a probability distribution to delta values representing differences between the measured signal values and corresponding model values to form a corresponding number of probability distribution functions, associating at least some of the probability distribution functions with each equation of a system of equations defining a number of unknown parameter values, solving the system of equations for a domain of possible solutions, and determining a unique solution for the unknown parameter values from the domain of possible solutions.