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: In an embodiment, a computing node includes a computing circuit, a comparing circuit, and an indicator circuit. The computing circuit is configured to receive each of at least one input-data message. The comparing circuit is configured to compare each of the at least one received input-data message to a list of input-data-message identifiers. And the indicator circuit is configured, for each of the at least one input-data message that corresponds to a respective input-data-message identifier, to generate a respective portion of a first status message, the respective portion indicating that the input-data message was received. For example, such computing node can determine the congruency of a received input-data message between coupled redundancy circuits with reduced processing overhead, reduced message delay, and reduced message latency as compared to existing computer nodes.

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: In an embodiment, a computing node includes a computing circuit, a comparing circuit, and an indicator circuit. The computing circuit is configured to receive each of at least one input-data message. The comparing circuit is configured to compare each of the at least one received input-data message to a list of input-data-message identifiers. And the indicator circuit is configured, for each of the at least one input-data message that corresponds to a respective input-data-message identifier, to generate a respective portion of a first status message, the respective portion indicating that the input-data message was received. For example, such computing node can determine the congruency of a received input-data message between coupled redundancy circuits with reduced processing overhead, reduced message delay, and reduced message latency as compared to existing computer nodes.

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: An improved rotorcraft blade tracking system and method is provided. The provided blade tracking system and method projects a focused beam of light with minimal variance in predetermined spectral characteristics at the ranges of distance suitable for rotorcraft blade tracking applications. The provided system and method detects a reflected beam of light that is associated with the projected focused beam of light. The provided system and method maintains eye safety, and performs consistently over a variety of environmental conditions.

Abstract: Methods and systems are provided for detecting temporal relationships that are uniquely associated with a selected root cause. The method comprises identifying error codes associated with a root cause, wherein each error code comprises a plurality of event indicators and temporal data describing when the event indicator was generated, analyzing each of the error codes to detect a combination of event indicators that is associated with error codes corresponding to the selected root cause and to a non-selected root cause, and detecting a temporal relationship involving the combination of event indicators, wherein the temporal relationship is uniquely associated with error codes corresponding to the selected root cause.

Abstract: Methods and systems are provided for detecting temporal relationships that are uniquely associated with a selected root cause. The method comprises identifying error codes associated with a root cause, wherein each error code comprises a plurality of event indicators and temporal data describing when the event indicator was generated, analyzing each of the error codes to detect a combination of event indicators that is associated with error codes corresponding to the selected root cause and to a non-selected root cause, and detecting a temporal relationship involving the combination of event indicators, wherein the temporal relationship is uniquely associated with error codes corresponding to the selected root cause.