The Boeing Company

John E Harrison

Tsai-Ching Lu

Qin Jiang

Franz David Betz

Shahriar Alam

David Scott Kinney

James L Millar

Matthew Swoboda

Matthew D Smith

John L Ross

Xavier F Nieves

John David Anderson

Paul Giesman

A monitor circuit is configured to receive sensor data samples at a first bit rate. The monitor circuit includes a sensor data processing circuit that is coupled to a sensor node and is configured to generate a sensor data characteristic signal for each sensor data sample. The sensor data characteristic signal for a particular sensor data sample indicates a value of a monitored parameter of the particular sensor data sample. The monitor circuit also includes a fault trigger circuit configured to determine, based on the sensor data characteristic signal, whether the sensor data samples satisfy a fault trigger. The monitor circuit further includes a summarization circuit configured to generate a sensor data summary signal based on the sensor data characteristic signal. The sensor data summary signal is provided to a summary output node at a second bit rate that is less than the first bit rate.

Monitor circuit for summarizing sensor data

A method, system, and computer program product for predicting abnormal operation of at least one component of a machine is provided. Real time monitoring data from an operating machine is received and monitoring features that are informative of likely abnormal operation are extracted and/or calculated. The monitoring features are applied to a prediction matrix that outputs probabilities of abnormal operation within one or more prediction time horizons. If the output probabilities exceed a threshold probability, then an alert can be output. Maintenance can be automatically scheduled in response to the alert.

Monitored machine performance as a maintenance predictor

Methods, systems, and computer-readable media are described herein for assessing aircraft braking performance and runway friction conditions. Aircraft data corresponding to characteristics of an aircraft during a landing event is received and used with a braking performance model to determine an indicator of braking performance. Estimated and brake metered pressures are compared to determine whether a friction-limited condition exists. The data then can be used to make an assessment of the runway friction characteristics and the associated braking capabilities of the runway.

Aircraft braking performance and runway condition determination

A method includes receiving, at a computing device, vehicle condition data from a vehicle monitoring system of a vehicle. The method also includes analyzing the vehicle condition data based on a trigger table, and based on a determination that the vehicle condition data satisfies a particular trigger condition specified in the trigger table, adding an entry in an alert evaluation queue.

Vehicle condition monitoring and reporting

Systems and methods for aircraft cabin noise analysis are disclosed. In one embodiment, a computer based system to monitor vehicle conditions comprises a trigger table stored in a tangible computer readable memory which stores at least one set of logic conditions which may trigger directive to analyze if alert conditions exist. The system further comprises a trigger processor to receive one or more data streams comprising vehicle condition data for a monitored vehicle and transmit the directive to analyze alert logic to an alert evaluation queue when the vehicle condition data satisfies the at least one set of logic conditions in the trigger table, and an alert evaluation processor to execute a stand-alone program to analyze vehicle data and generate an alert when the vehicle condition data satisfies the at least one set of alert conditions. In some embodiments, the system may be implemented in a computing system or as logic instructions recorded on a computer readable medium.

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Bellevue, WA, United States of America

John E Harrison