Abstract: A system and method for automation of flight functions across an aircraft cockpit provides an open systems architecture to meet next generation mission capabilities for increased aircrew effectiveness. A mission reasoner (MR) receives inputs from a vehicle health system, mission phase analysis, and external assets (wingmen) to build a decision network based on a knowledge database providing a decision aid to automate flight functions across the cockpit. The MR reduces crew workload by providing an automated decision aid and increased situational awareness of own ship aircraft and cooperating nearby vehicle health status relating to a phase of mission success. The MR provides predictive decisions and alternative actions to complete one or more desired mission objectives and determines predictive maintenance and future failures to optimize condition-based maintenance and reduce cost.

Abstract: A method of bearing fault detection including measuring a signal of torsional energy transfer from a rotating device to a non-rotating device at a distance away from the rotating device, calculating a health status of the rotating device based on a comparison of the measured signal to a baseline signal, and calculating a remaining useful life of the rotating device.

Abstract: A method is provided for sensing proximity of a target. The method includes sensing inductance associated with a magnetic field, wherein the inductance is affected by the target when the target is proximate the magnetic field. The method further includes providing the sensed inductance for processing. The processing includes determining an inductance value from at least the sensed inductance and estimating a parameter of a gap between a location of sensing the inductance and the target as a function of the inductance value and application of a nonlinear model of a relationship between the gap and inductance.

Abstract: Systems and methods for generating reduced order models are provided herein. In embodiments, a set of learning points is identified in a parametric space. A 3D physical solver may be used to perform a simulation for each learning point in the set of learning points to generate a learning data set, where the 3D physical solver is selected from a plurality of compatible 3D physical solvers for simulating different physical aspects of a product or process. The learning data set may be compressed to reduce the learning data set to a smaller set of vectors. Coefficients from the learning data set and the smaller set of vectors may then be used to interpolate a set of coefficients within a design space for the reduced order model.

Abstract: Systems and methods for generating reduced order models are provided herein. In embodiments, a set of learning points is identified in a parametric space. A 3D physical solver may be used to perform a simulation for each learning point in the set of learning points to generate a learning data set, where the 3D physical solver is selected from a plurality of compatible 3D physical solvers for simulating different physical aspects of a product or process. The learning data set may be compressed to reduce the learning data set to a smaller set of vectors. Coefficients from the learning data set and the smaller set of vectors may then be used to interpolate a set of coefficients within a design space for the reduced order model.

Abstract: A method of monitoring an air cycle machine including driving a rotary shaft of an air cycle machine, disconnecting a driving source to allow the rotary shaft to slow the rotary shaft, and monitoring a shutdown cycle of the rotary shaft.

Abstract: A system and method for automation of flight functions across an aircraft cockpit provides an open systems architecture to meet next generation mission capabilities for increased aircrew effectiveness. A mission reasoner (MR) receives inputs from a vehicle health system, mission phase analysis, and external assets (wingmen) to build a decision network based on a knowledge database providing a decision aid to automate flight functions across the cockpit. The MR reduces crew workload by providing an automated decision aid and increased situational awareness of own ship aircraft and cooperating nearby vehicle health status relating to a phase of mission success. The MR provides predictive decisions and alternative actions to complete one or more desired mission objectives and determines predictive maintenance and future failures to optimize condition-based maintenance and reduce cost.

Abstract: A method of bearing fault detection including measuring a signal of torsional energy transfer from a rotating device to a non-rotating device at a distance away from the rotating device, calculating a health status of the rotating device based on a comparison of the measured signal to a baseline signal, and calculating a remaining useful life of the rotating device.

Abstract: A method is provided for sensing proximity of a target. The method includes sensing inductance associated with a magnetic field, wherein the inductance is affected by the target when the target is proximate the magnetic field. The method further includes providing the sensed inductance for processing.

Abstract: A method of monitoring an air cycle machine including driving a rotary shaft of an air cycle machine, disconnecting a driving source to allow the rotary shaft to slow the rotary shaft, and monitoring a shutdown cycle of the rotary shaft.

Abstract: A method includes receiving a sampled input, the sampled input being a result of a detection device sensing a plurality of environmental conditions by an air cycle machine; processing the sampled input to detect whether the plurality of environmental conditions includes a deviation from an expected operation of the air cycle machine; and generating a notification output in response to the plurality of environmental conditions including the deviation from the expected operation of the air cycle machine.

Abstract: A method includes receiving, by a first wireless device integrated into a management facility from a second wireless device integrated into a detection device, environmental conditions produced by a structure and detected by the detection device attached to the structure; and processing, by the management facility, the environmental conditions to detect a deviation from an expected operation of the structure.

Abstract: In one example, a method includes generating a set of predicted load values for at least one physical component, each predicted load value corresponding uniquely to one of an ordered sequence of index values. The method further includes determining a set of predicted wear indicator values corresponding to the at least one physical component. Each predicted wear indicator value corresponds uniquely to one of the ordered sequence of index values and is determined based on one of the predicted load values that corresponds to a sequentially previous index value and one of the predicted wear indicator values that corresponds to the sequentially previous index value. The method further includes determining a predicted amount of remaining useful life of the at least one physical component based on the set of predicted wear indicator values, and outputting an indication of the predicted amount of remaining useful life.

Abstract: In one example, a method includes measuring sensor data of at least one physical component having a known operational status. The method further includes generating a plurality of data points from the measured sensor data, each of the plurality of data points representing a measured occurrence of a feature of the measured sensor data. The method further includes iteratively sampling with replacement the data points to generate a plurality of subsets of the data points, and determining, within each of the plurality of subsets, a confidence interval having an upper bound and a lower bound to generate a plurality of confidence intervals having respective upper bounds and lower bounds. The method further includes generating a composite confidence interval having a composite upper bound based on a first central tendency of the respective upper bounds and a composite lower bound based on a second central tendency of the respective lower bounds.

Abstract: A method includes receiving, by a first wireless device integrated into a management facility from a second wireless device integrated into a detection device, environmental conditions produced by a structure and detected by the detection device attached to the structure; and processing, by the management facility, the environmental conditions to detect a deviation from an expected operation of the structure.

Abstract: A method includes receiving a sampled input, the sampled input being a result of a detection device sensing a plurality of environmental conditions by an air cycle machine; processing the sampled input to detect whether the plurality of environmental conditions includes a deviation from an expected operation of the air cycle machine; and generating a notification output in response to the plurality of environmental conditions including the deviation from the expected operation of the air cycle machine.

Abstract: A method includes receiving, by an inventory management system (IMS) program executing on a computing device, a remaining useful life (RUL) formulation for a part of a machine that estimates an amount of time for which the part will continue to perform its intended function and a potential unscheduled maintenance event. The method also includes receiving, by the IMS program, replacement part order lead time data and anticipated replacement part inventory level data from a part inventory database. The method also includes determining, by the IMS program and based on the RUL formulation, the replacement part order lead time data, and the anticipated part replacement inventory level data, that an order for a replacement part should be initiated.

Abstract: The present disclosure relates to a method to a remaining useful life forecasting system. The system comprises a combination of hardware and software, configured to calculate the Remaining Useful Life (RUL) of a part. The system may be configured to receive as input, information characterizing the part's engineering design (geometry, material, design loads), actual measurements of the part's historical degradation profile, estimates of the part's forecasted loading usage, and approximations of the part's remaining structural load carrying capacity.