Honeywell International Inc.

Andrew Peter Vechart

Bernard S Fritz

Raj Mohan Bharadwaj

Piyush Ranade

Kwong Wing Au

Kyusung Kim

Paul Frederick Dietrich

David Daniel Lilly

Megan L Hawley

Abraham Reddy

Dinkar A Mylaraswamy

Robert E De Mers

Darryl Busch

Emmanuel Obiesie Nwadiogbu

Erik T Nelson

Richard Rateick

Dale Frederick Enns

Suresh Sundarraj

Craig L Schimmel

Mark E Behnke

Giles Horban

Matthew Brown

Craig Schimmel

Rich Olson

Jr Richard Rateick

A method in an aircraft of using prognostic indicators for aircraft maintenance includes retrieving aircraft health data for a plurality of aircraft components wherein the aircraft health data includes at least one of mechanical systems condition indicator (CI) data, vibration spectrum data, resampled time-domain (RTD) data, and RTD spectrum data. The method includes estimating component health status information for the plurality of aircraft components using a plurality of prognostic modules wherein each prognostic module is configured to generate health status information for at least one of the aircraft components, the health status information includes at least one of a current health indicator and a prognostic indicator. The method also includes storing the component health status information for the aircraft components in a database onboard the aircraft, and causing the display of the health status information for the specific component on an aircraft display.

System and method of using mechanical systems prognostic indicators for aircraft maintenance

A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.

System and method for additive manufacturing process monitoring

A system and method for verifying the response capabilities of a control effector include processing, in a test module, at least command data and sensor data associated with the control effector to generate control effector health data representative of control effector health. The control effector health data are processed in a reasoner to selectively indict and clear one or more faults, determine a failure is uncertain based on the one or more indicted faults, determine one or more test excitation signals to supply to the control effector to verify whether the uncertain failure is present or absent, and supply the one or more test excitation signals to a controller that is in operable communication with the control effector.

Initiated test health management system and method

A health monitoring system for monitoring a vehicle and a method for operating the same are provided. The system, for example, may include, but is not limited to, at least one sensor configured to collect data corresponding to the vehicle, an interface system, a memory, and a processor communicatively coupled to the at least one sensor, the interface system and the memory, the processor configured to: determine when the vehicle is experiencing an anomaly, collect, from the interface system, data corresponding to the anomaly from a user of the vehicle, and associate, the data collected from the interface system and the data collected from the at least one sensor.

Health monitoring system for diagnosing and reporting anomalies

A system method of estimating health of aircraft brake system friction material includes sensing a temperature of the friction material, and supplying the sensed temperature to a processor-implemented thermal model that is configured to estimate friction material temperatures at one or more locations on the friction material. The estimates of friction material temperatures are supplied to a processor-implemented thermal oxidation model that is configured, based on the estimates of friction material temperatures, to estimate friction material loss due to thermal oxidation. Data representative of runway fluid exposure are supplied to a processor-implemented catalytic oxidation model that is configured, based on the runway fluid exposure, to estimate friction material loss due to catalytic oxidation. The health of the friction material is estimated based on the estimates of friction material loss from the processor-implemented thermal oxidation model and the processor-implemented catalytic oxidation model.

Aircraft brake health monitoring system and method

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Plymouth, MN, United States of America

Andrew Peter Vechart