A system and method for controlling compressor inlet guide vanes of a gas turbine engine in an aircraft includes supplying, to a compressor inlet guide vane control algorithm, an inlet temperature value that is at least representative of sensed engine inlet total temperature. One or more gas turbine engine parameters are sensed with one or more sensors during operation of the gas turbine engine. The one or more gas turbine engine parameters are processed in the engine control unit to determine an inlet temperature modifier value that is an estimate of a difference between the sensed engine inlet total temperature and actual engine inlet total temperature. The inlet temperature modifier value is added to the inlet temperature value to derive a modified engine inlet total temperature. The modified engine inlet total temperature is used in the compressor inlet guide vane control algorithm, which controls the compressor inlet guide vanes.

An exemplary method for qualifying a gas turbine engine component includes creating a first set of substantially identical gas turbine engine components via a uniform manufacturing procedure, determining a set of as-manufactured parameters of each gas turbine engine component in the first set of substantially identical gas turbine engine components, determining a variance model of the first set of substantially identical gas turbine engine components, and determining a plurality of predicted response models based at least in part on the variance model, each of the predicted response models corresponding to one of an engine type and an engine assembly, and each of the predicted response models being configured to determine a predicted response of including a gas turbine engine component from the first set of substantially identical gas turbine engine components in the corresponding one of the engine type and the engine assembly. The system then identifies as-manufactured parameters of a second engine component, and applies the as-manufactured parameters of the second engine component to each of the predicted response models, thereby generating a predicted response output from each of the predicted response models. An optimum predicted response from each of the generated predicted response models is identified and the engine type or engine assembly that corresponds with the optimum predicted response is associated with a unique part identifier of the second engine component.

Embodiments of the invention are shown in the figures, where a system for vibration detection is shown, the system comprising: one or more drivelines including a rotatable component rotatable about a rotational axis relative to another component; an electrical machine having a rotor and a stator rotatable with respect to one another, the rotor being arranged to at least one of drive and be driven by a part of the driveline, the electrical machine being adapted to provide signals indicative for at least one of a motion and a force between the rotor and the stator and a torque applied on the rotor; and an analysis unit adapted to receive the signals and to detect a vibration signature of the rotatable component with respect to the other component based on the signals.

An engine system comprises first and second electrical generators coupled to lower and higher pressure (LP, HP) shafts respectively of a gas turbine engine. A controller is arranged to receive a signal corresponding to a total electrical power demand P.sub.1 and to output control signals to the electrical generators in response thereto such that the first and second electrical generators output electrical powers (1−y)P.sub.1 and yP.sub.1 respectively when P.sub.1≤P.sub.m1, where 0.5<y≤1 and P.sub.m1 is the maximum electrical output power of the first electrical generator. By satisfying the demand P.sub.1 mostly by extraction of electrical power from the first electrical generator when possible, the additional mechanical stress on the gas turbine engine resulting from electrical power extraction is reduced compared to the case where 50% or more of the demand P.sub.1 is satisfied by the second electrical generator.

A system and method for controlling compressor inlet guide vanes of a gas turbine engine in an aircraft includes supplying, to a compressor inlet guide vane control algorithm, an inlet temperature value that is at least representative of sensed engine inlet total temperature. One or more gas turbine engine parameters are sensed with one or more sensors during operation of the gas turbine engine. The one or more gas turbine engine parameters are processed in the engine control unit to determine an inlet temperature modifier value that is an estimate of a difference between the sensed engine inlet total temperature and actual engine inlet total temperature. The inlet temperature modifier value is added to the inlet temperature value to derive a modified engine inlet total temperature. The modified engine inlet total temperature is used in the compressor inlet guide vane control algorithm, which controls the compressor inlet guide vanes.

Methods and apparatus are disclosed to determine material parameters of a turbine rotor. An example apparatus includes a rotor geometry determiner to determine a geometry of the rotor, a node radius calculator to calculate radial node locations of radial nodes including a first radial node, a thermocouple interface to record first temperature values over an interval, a first thermal stress calculator to calculate first thermal stress values at one or more of the radial nodes over the interval, a node temperature calculator to calculate second temperature values at respective internal nodes of the first radial node, a reference value lookup to lookup first material parameter information, a second thermal stress calculator to determine second thermal stress values, a thermal stress comparator to calculate a difference between the thermal stress values, and, in response to the difference not satisfying a threshold, a material parameter adjuster to determine material parameters.

A gas turbine engine, includes: an engine core including a turbine, compressor, and shaft system connecting the turbine to the compressor, and forming a torque path therebetween. The shaft system is axially located by a thrust bearing located forward of the turbine, and the engine is configured, in the event of a shaft break which divides the shaft system into a front portion located by the thrust bearing and a rear portion unlocated by the thrust bearing, the rear portion is free to move axially rearwardly under a gas load. The engine further includes a shaft break detector having a forward speed sensor configured to measure a rotational speed of the front portion of the shaft system, and a rear microwave sensor configured to measure a rotational speed of the rear portion of the shaft system, wherein a shaft break can be detected based on differences in the measured speeds.

A method for predicting an anomaly in a combustor (16) is presented. The method includes receiving signals representative of parameters in one or more combustion cans (22, 24) of the combustor, generating a plurality of patterns based on a permutation entropy window and the signals, identifying a plurality of pattern categories in the plurality of patterns, determining a permutation entropy based on the plurality of patterns and the plurality of pattern categories, and predicting an anomaly in the combustor based on the permutation entropy. The method further includes comparing the plurality of pattern categories to determined permutations of pattern categories if the anomaly is present in the combustor, and predicting a category of the anomaly based on the comparison of the plurality of pattern categories to the determined permutations of pattern categories.

According to an aspect, a correction factor for a fuel flow of a fuel system of an engine is determined. A nominal fuel flow is determined based on a metering valve stroke. The correction factor is applied to the nominal fuel flow to produce an estimated fuel flow to control combustion in the engine.

A system and method for determining performance of an engine is provided. The system includes two or more sensors configured in operable arrangement at two or more respective positions at a flowpath. The system includes one or more computing devices configured to perform operations, the operations include acquiring, via the two or more sensors, parameter sets each corresponding to two or more engine conditions different from one another, wherein each parameter set indicates a health condition at a respective location at the engine; comparing, via the computing device, the parameter sets to determine the respective health condition corresponding to the respective location at the engine; and generating, via the computing device, a health condition prediction based on the compared parameter sets.