Abstract: 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.

Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided.

Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided.

Abstract: 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.

Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided.

Abstract: 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.

Abstract: A computer-implemented method for providing a user with a performance indicator score includes receiving a first transaction message that includes historical clinical-trial performance data from one or more processors at a clinical research organization and receiving a second transaction message with health records data with parameters indicative of insurance claims data. The received historical clinical-trial performance data and the prescription data is translated into an updated database. Related records within the updated database are identified and one or more key performance indicators included in the data at the updated database for a first physician are identified. A score for each of the one or more key performance indicators are calculated and a performance indicator score record for the first physician is generated based on the calculated scores for each of the one or more key performance indicators. A multi-dimensional chart for organizing and evaluating investigators is generated.