Abstract: A drive system of a gas turbine engine includes a first drive shaft and a second drive shaft operable to rotate within the gas turbine engine, a first sensor operable to detect rotation of the first drive shaft, a second sensor operable to detect rotation of the second drive shaft, and a processing system coupled to the first sensor and the second sensor. The processing system is operable to determine a timing variation based on output of the first sensor and output of the second sensor, determine a torsional deflection between the first drive shaft and the second drive shaft based on the timing variation, and detect a health status of the drive system based on the torsional deflection.

Abstract: A method for actively calculating and monitoring the oil debris monitor phase angle includes sensing a noise from an in-line oil debris monitor sensor in an oil flow path, generating a polar plot of an I and Q channel data from only the noise. Linear regression of noise is then utilized from the I and Q channel data for calculating a slope of regression form the linear regression and converting the slope to a phase angle.

Abstract: An oil debris monitoring sensor includes a multiple of passages within the housing, each of the multiple of passages surrounded by a set of coils to detect a particle. A method for determining a presence of a particle in a system includes a) installing a single sensor in-line with an oil flow path; b) communicating oil through a multiple of passages within the housing of the single sensor; c) detecting a particle through the single sensor; and d) isolating the particle to one of the multiple of passages within the sensor housing.

Abstract: A drive system of a gas turbine engine includes a first drive shaft and a second drive shaft operable to rotate within the gas turbine engine, a first sensor operable to detect rotation of the first drive shaft, a second sensor operable to detect rotation of the second drive shaft, and a processing system coupled to the first sensor and the second sensor. The processing system is operable to determine a timing variation based on output of the first sensor and output of the second sensor, determine a torsional deflection between the first drive shaft and the second drive shaft based on the timing variation, and detect a health status of the drive system based on the torsional deflection.

Abstract: An oil debris monitoring sensor includes a multiple of passages within the housing, each of the multiple of passages surrounded by a set of coils to detect a particle. A method for determining a presence of a particle in a system includes a) installing a single sensor in-line with an oil flow path; b) communicating oil through a multiple of passages within the housing of the single sensor; c) detecting a particle through the single sensor; and d) isolating the particle to one of the multiple of passages within the sensor housing.

Abstract: A drive system of a gas turbine engine includes a first drive shaft and a second drive shaft operable to rotate within the gas turbine engine, a first sensor operable to detect rotation of the first drive shaft, a second sensor operable to detect rotation of the second drive shaft, and a processing system coupled to the first sensor and the second sensor. The processing system is operable to determine a timing variation based on output of the first sensor and output of the second sensor, determine a torsional deflection between the first drive shaft and the second drive shaft based on the timing variation, and detect a health status of the drive system based on the torsional deflection.

Abstract: A method for determining the presence of a particle while actively calculating and monitoring oil debris monitor phase angle in an oil system including collecting I and Q channel data from an oil debris monitor sensor, performing a fast Fourier transform on the I and Q channel data, extracting a shape from the fast Fourier transform, and determining whether a particle is present from the shape.

Abstract: A method for fault diagnosis of a bearing includes detecting, using an oil debris monitor (ODM) sensor, ODM data corresponding to an amount of debris flowing downstream from the bearing. The method also includes detecting, using a vibration sensor, vibration data corresponding to vibration of the bearing during use. The method also includes determining, by a controller, a vibration stage flag corresponding to a severity of damage of the bearing based on the vibration data. The method also includes determining, by the controller, a severity level of the damage of the bearing based on a combination of the vibration stage flag and the ODM data. The method also includes outputting, by an output device, the severity level.

Abstract: An aircraft sensor system includes a first sensor configured to detect a parameter of an aircraft system and a first micro electro-mechanical-system (MEMS) disposed local to a first component within the aircraft system. The first MEMS is communicatively connected to a controller, and is configured to trigger in response to a corresponding parameter exceeding a threshold. The controller is connected to an output of the first sensor and includes a non-transitory memory storing instructions configured to cause the controller to increase a sampling rate of the first sensor to a sampling rate corresponding to the first component for at least a predetermined length of time in response to the first MEMS being triggered.

Abstract: An oil debris monitoring sensor includes a multiple of passages within the housing, each of the multiple of passages surrounded by a set of coils to detect a particle. A method for determining a presence of a particle in a system includes a) installing a single sensor in-line with an oil flow path; b) communicating oil through a multiple of passages within the housing of the single sensor; c) detecting a particle through the single sensor; and d) isolating the particle to one of the multiple of passages within the sensor housing.

Abstract: A distress detection system includes a data repository operable to collect sensor data from a monitored system. The distress detection system also includes an analysis system with a processing system operable to access a first parameter of a first system of the monitored system from the data repository and access a second parameter of the first system of the monitored system from the data repository. The processing system is also operable to apply 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 monitored system as fuzzy metric data points, classify a component of the second system as being in distress based on comparing the fuzzy metric data points to a limit line, and assert a component distress indicator responsive to classifying the component of the second system as being in distress.

Abstract: A method for determining the presence of a particle while actively calculating and monitoring oil debris monitor phase angle in an oil system including collecting I and Q channel data from an oil debris monitor sensor; determining whether the I and Q data is symmetric; processing the I and Q channel data to identify a ferrous and nonferrous signal in response to the I and Q data being symmetric; processing the ferrous and nonferrous signals to determine if a particle is present; determining a symmetry factor from the I and Q channel data in response to the particle being present and confirming that the particle is present from the symmetry factor.

Abstract: An optical foreign object detection (FOD) system for a gas turbine engine includes a multiple of emitters arranged about an inner periphery of a fan cowl, a multiple or receivers arranged about the inner periphery of the fan cowl, each of the multiple of receivers receiving a beam from one of the multiple of emitters to form a beam matrix; and a control system in communication with the multiple of emitters and the multiple of receivers, the control system operable to detect a minimum sized object in response to breaking at least one beam of the beam matrix.

Abstract: A method for determining the presence of a particle while actively calculating and monitoring oil debris monitor phase angle in an oil system including collecting I and Q channel data from an oil debris monitor sensor, performing a fast Fourier transform on the I and Q channel data, extracting a shape from the fast Fourier transform, and determining whether a particle is present from the shape.

Abstract: A method for actively calculating and monitoring the oil debris monitor phase angle includes sensing a noise from an in-line oil debris monitor sensor in an oil flow path, generating a polar plot of an I and Q channel data from only the noise. Linear regression of noise is then utilized from the I and Q channel data for calculating a slope of regression form the linear regression and converting the slope to a phase angle.

Abstract: A method for determining the presence of a particle while actively calculating and monitoring oil debris monitor phase angle in an oil system including collecting I and Q channel data from an oil debris monitor sensor; determining whether the I and Q data is symmetric; processing the I and Q channel data to identify a ferrous and nonferrous signal in response to the I and Q data being symmetric; processing the ferrous and nonferrous signals to determine if a particle is present; determining a symmetry factor from the I and Q channel data in response to the particle being present and confirming that the particle is present from the symmetry factor.

Abstract: A drive system of a gas turbine engine includes a first drive shaft and a second drive shaft operable to rotate within the gas turbine engine, a first sensor operable to detect rotation of the first drive shaft, a second sensor operable to detect rotation of the second drive shaft, and a processing system coupled to the first sensor and the second sensor. The processing system is operable to determine a timing variation based on output of the first sensor and output of the second sensor, determine a torsional deflection between the first drive shaft and the second drive shaft based on the timing variation, and detect a health status of the drive system based on the torsional deflection.

Abstract: An aircraft sensor system includes a first sensor configured to detect a parameter of an aircraft system and a first micro electro-mechanical-system (MEMS) disposed local to a first component within the aircraft system. The first MEMS is communicatively connected to a controller, and is configured to trigger in response to a corresponding parameter exceeding a threshold. The controller is connected to an output of the first sensor and includes a non-transitory memory storing instructions configured to cause the controller to increase a sampling rate of the first sensor to a sampling rate corresponding to the first component for at least a predetermined length of time in response to the first MEMS being triggered.

Abstract: A drive system of a gas turbine engine includes at least one drive shaft operable to rotate within the gas turbine engine, a phonic wheel coupled to the at least one drive shaft, a speed sensor operable to detect rotation of the phonic wheel indicative of rotation of the at least one drive shaft, and a processing system coupled to the speed sensor. The processing system is operable to detect a phonic wheel pulse train indicative of rotation of the at least one drive shaft via the speed sensor, determine a torsional mode of the at least one drive shaft based on the phonic wheel pulse train, and record one or more trends of the torsional mode indicative of a health status of the drive system.

Abstract: A method for fault diagnosis of a bearing includes detecting, using an oil debris monitor (ODM) sensor, ODM data corresponding to an amount of debris flowing downstream from the bearing. The method also includes detecting, using a vibration sensor, vibration data corresponding to vibration of the bearing during use. The method also includes determining, by a controller, a vibration stage flag corresponding to a severity of damage of the bearing based on the vibration data. The method also includes determining, by the controller, a severity level of the damage of the bearing based on a combination of the vibration stage flag and the ODM data. The method also includes outputting, by an output device, the severity level.