Abstract: A method of evaluating a part is characterized by obtaining data representing a distress rank model (DRM) and a cumulative damage model (CDM) for the part. Based on the data, the method ascertains a DRM value for the part and a CDM value for the part. The method determines whether the DRM value is at or above a predetermined DRM threshold and whether a CDM value is at or above a predetermined CDM threshold. If either the DRM value or the CDM value is at or above at least one respective threshold, an action related to the part is generated.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate a predictive asset health quantifier of a turbine engine. An example apparatus includes a performance model analyzer to determine a fleet behavior parameter by generating a reference performance model using historical information for a fleet of operators using turbine engines, generate a residual performance model based on calculating a difference between the fleet behavior parameter and a plurality of operator behavior parameters, identify an operator as a candidate improvement target based on comparing the operator behavior parameters corresponding to the operator to the fleet in the residual performance model, and determine an adjusted operator behavior parameter for the candidate improvement target.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate a predictive asset health quantifier of a turbine engine. An example apparatus includes a performance model analyzer to determine a fleet behavior parameter by generating a reference performance model using historical information for a fleet of operators using turbine engines, generate a residual performance model based on calculating a difference between the fleet behavior parameter and a plurality of operator behavior parameters, identify an operator as a candidate improvement target based on comparing the operator behavior parameters corresponding to the operator to the fleet in the residual performance model, and determine an adjusted operator behavior parameter for the candidate improvement target.

Abstract: Systems and methods for assessing and quantifying the environmental impact on a mechanical component are provided. In one embodiment, a method can include receiving one or more first set(s) of data from one or more first data acquisition system(s) configured to communicate with an onboard system of an aircraft. The method can further include receiving one or more second sets of data from one or more second data acquisition systems that are remote from the aircraft. The method can include determining an aggregate amount of the environmental condition experienced by a mechanical component of the aircraft based at least in part on the first sets of data and the second sets of data. The method can include predicting a level of distress associated with the mechanical component based at least in part on the aggregate amount of the environmental condition experienced by the mechanical component.

Abstract: Provided is an engine health management system and method for determining health of an engine of an aircraft, that includes a data source interface which transmits data from internal and external data sources, a control module that includes a processor and a memory and receives data via the data source interface, creates evaluation methods for evaluating the data received to determine suitable data and storing the suitable data within the memory, and creates a controlled historical airport information repository to process historical data via the processor and generate airport information reports based on the historical data. The system also includes a central computing system communicatively coupled with the control module and the data source interface, which performs data enhancement techniques including linking environmental counts and accumulations with engine data.

Abstract: Provided is an engine health management system and method for determining health of an engine of an aircraft, that includes a data source interface which transmits data from internal and external data sources, a control module that includes a processor and a memory and receives data via the data source interface, creates evaluation methods for evaluating the data received to determine suitable data and storing the suitable data within the memory, and creates a controlled historical airport information repository to process historical data via the processor and generate airport information reports based on the historical data. The system also includes a central computing system communicatively coupled with the control module and the data source interface, which performs data enhancement techniques including linking environmental counts and accumulations with engine data.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate a predictive asset health quantifier of a turbine engine. An example apparatus includes a performance model analyzer to determine a fleet behavior parameter by generating a reference performance model using historical information for a fleet of operators using turbine engines, generate a residual performance model based on calculating a difference between the fleet behavior parameter and a plurality of operator behavior parameters, identify an operator as a candidate improvement target based on comparing the operator behavior parameters corresponding to the operator to the fleet in the residual performance model, and determine an adjusted operator behavior parameter for the candidate improvement target.

Abstract: Systems and methods for assessing and quantifying the environmental impact on a mechanical component are provided. In one embodiment, a method can include receiving one or more first set(s) of data from one or more first data acquisition system(s) configured to communicate with an onboard system of an aircraft. The method can further include receiving one or more second sets of data from one or more second data acquisition systems that are remote from the aircraft. The method can include determining an aggregate amount of the environmental condition experienced by a mechanical component of the aircraft based at least in part on the first sets of data and the second sets of data. The method can include predicting a level of distress associated with the mechanical component based at least in part on the aggregate amount of the environmental condition experienced by the mechanical component.

Abstract: A method of evaluating a part is characterized by obtaining data representing a distress rank model (DRM) and a cumulative damage model (CDM) for the part. Based on the data, the method ascertains a DRM value for the part and a CDM value for the part. The method determines whether the DRM value is at or above a predetermined DRM threshold and whether a CDM value is at or above a predetermined CDM threshold. If either the DRM value or the CDM value is at or above at least one respective threshold, an action related to the part is generated.

Abstract: Systems and methods for assessing and quantifying the environmental impact on a mechanical component are provided. In one embodiment, a method can include receiving one or more first set(s) of data from one or more first data acquisition system(s) configured to communicate with an onboard system of an aircraft. The method can further include receiving one or more second sets of data from one or more second data acquisition systems that are remote from the aircraft. The method can include determining an aggregate amount of the environmental condition experienced by a mechanical component of the aircraft based at least in part on the first sets of data and the second sets of data. The method can include predicting a level of distress associated with the mechanical component based at least in part on the aggregate amount of the environmental condition experienced by the mechanical component.

Abstract: The present disclosure is directed to an integrated electrostatic sensor for detecting dust and/or other airborne particulates in an engine, e.g. in an aircraft gas turbine engine. The electrostatic sensor includes an outer housing having a sensing face, an electrode configured within the outer housing adjacent to the sensing face, and an amplifier configured with the electrode. The electrode contains a plurality of electrons configured to move as charged dust particles flow past the sensing face. Thus, the amplifier is configured to detect a dust level as a function of the electron movement. The electrostatic sensor also includes a circuit board configured within the outer housing and electrically coupled to the amplifier. Thus, the circuit board is configured to send the one or more signals to a controller of the engine indicative of the dust level.

Abstract: A method of evaluating a part is characterized by obtaining data representing a distress rank model (DRM) and a cumulative damage model (CDM) for the part. Based on the data, the method ascertains a DRM value for the part and a CDM value for the part. The method determines whether the DRM value is at or above a predetermined DRM threshold and whether a CDM value is at or above a predetermined CDM threshold. If either the DRM value or the CDM value is at or above at least one respective threshold, an action related to the part is generated.

Abstract: An aircraft including a jet engine including a core having a compressor and combustion chamber, and a particulate sensor located within the core and a particulate detection method for an aircraft having a jet engine where the method includes sensing particulates within the core and providing a corresponding value for the sensed particulates and providing an indication related thereto.

Abstract: Systems and methods for assessing and quantifying the environmental impact on a mechanical component are provided. In one embodiment, a method can include receiving one or more first set(s) of data from one or more first data acquisition system(s) configured to communicate with an onboard system of an aircraft. The method can further include receiving one or more second sets of data from one or more second data acquisition systems that are remote from the aircraft. The method can include determining an aggregate amount of the environmental condition experienced by a mechanical component of the aircraft based at least in part on the first sets of data and the second sets of data. The method can include predicting a level of distress associated with the mechanical component based at least in part on the aggregate amount of the environmental condition experienced by the mechanical component.

Abstract: A system and method including a processor coupled to the non-volatile memory and a non-transitory medium connected to the processor wherein the processor is configured to select one of a flight path between two points or a point of departure and frequency of departure in the flight path from the point for an aircraft, wherein the flight path has at least two phases and a flight along the flight path or a departure constitutes one cycle.

Abstract: A system and method including a processor coupled to the non-volatile memory and a non-transitory medium connected to the processor wherein the processor is configured to select one of a flight path between two points or a point of departure and frequency of departure in the flight path from the point for an aircraft, wherein the flight path has at least two phases and a flight along the flight path or a departure constitutes one cycle.

Abstract: The present disclosure is directed to an integrated electrostatic sensor for detecting dust and/or other airborne particulates in an engine, e.g. in an aircraft gas turbine engine. The electrostatic sensor includes an outer housing having a sensing face, an electrode configured within the outer housing adjacent to the sensing face, and an amplifier configured with the electrode. The electrode contains a plurality of electrons configured to move as charged dust particles flow past the sensing face. Thus, the amplifier is configured to detect a dust level as a function of the electron movement. The electrostatic sensor also includes a circuit board configured within the outer housing and electrically coupled to the amplifier. Thus, the circuit board is configured to send the one or more signals to a controller of the engine indicative of the dust level.

Abstract: The present disclosure is directed to an integrated multi-chip module (MCM) sensor assembly having at least one electrostatic sensor and a circuit board. The electrostatic sensor includes an outer housing with an electrode and an amplifier configured therein. The electrode includes a first end and a second end separated by a predetermined length. The second end includes a sensing face that is substantially flush with an edge of the outer housing. Further, the electrode contains a plurality of electrons configured to respond to one or more charged particles that flow past the sensing face by moving either towards or away from the second end. Thus, the amplifier is electrically coupled to the electrode so as to detect a particle level flowing past the sensing face as a function of the electron movement. Moreover, the circuit board is configured within the outer housing and is electrically coupled to the sensor.

Abstract: A method of evaluating a part is characterized by obtaining data representing a distress rank model (DRM) and a cumulative damage model (CDM) for the part. Based on the data, the method ascertains a DRM value for the part and a CDM value for the part. The method determines whether the DRM value is at or above a predetermined DRM threshold and whether a CDM value is at or above a predetermined CDM threshold. If either the DRM value or the CDM value is at or above at least one respective threshold, an action related to the part is generated.

Abstract: An aircraft including a jet engine including a core having a compressor and combustion chamber, and a particulate sensor located within the core and a particulate detection method for an aircraft having a jet engine where the method includes sensing particulates within the core and providing a corresponding value for the sensed particulates and providing an indication related thereto.