The Boeing Company

Brian Predmore

Changzhou Wang

Jun Yuan

Christopher Michael Mutschler

Susan Jacintho

Thanh Duc Hoang

James Joseph Meany

Raymond Walter Willis

John Vandervort

Nitin L Gandhi

Leslie Ytsma

Feibi Mao

An example method for data parameter reasonability analysis includes receiving a source data file including a plurality of data frames having formats that are unknown, and a data frame includes a data word layout having data words concatenated together and the data words are representative of outputs from a plurality of sensors, comparing the sensor data to compatible parameter values for a type of sensor mapped to the location of the sensor data in the data word layout as for available data frame formats, generating a difference map illustrating one or more data words having sensor data incompatible with the type of sensor mapped to the location of the sensor data in the data word layout, assigning a data frame format to the plurality of data frames, determining reasonableness of the sensor data in the source data file, and providing a report as to reasonability of the sensor data.

Methods and systems for data parameter reasonability analysis

A system and method for processing source data, which includes a translation processor configured on a server to translate a stream of source data received at the server into a stream of formatted data types based on one or more of parameter definitions for the source data and new parameter information for the source data having an unknown data type. The source data can be received at the server from multiple sources and the data format may not be consistent from one source to another. An analytics processor on the server can be configured to operate on the out-of-tolerance data type to perform one or more of trend data analytics, associated data analytics and preventative action analytics.

System and method for large scale data processing of source data

A method includes obtaining data associated with operation of an aircraft and determining a first operational phase of the aircraft based on the data. The method includes identifying a candidate operational phase transition from the first operational phase to a candidate operational phase based on a first portion of the data satisfying a first condition associated with the candidate operational phase, the first portion of the data corresponding to a first time. The method includes evaluating a second portion of the data based on a second condition associated with the candidate operational phase, the second portion of the data corresponding to a second time that is subsequent to the first time. The method further includes, based on the second condition being satisfied, generating an operational phase transition indication that indicates an occurrence of an operational phase transition to the candidate operational phase at the first time.

System and method for operational phase detection

A method includes obtaining data associated with operation of a vehicle and determining a first operational phase of the vehicle based on the data. The method includes identifying a candidate operational phase transition from the first operational phase to a candidate operational phase based on a first portion of the data satisfying a first condition associated with the candidate operational phase, the first portion of the data associated with a first time. The method includes evaluating a second portion of the data based on a second condition associated with the candidate operational phase, the second portion of the data associated with a second time that is subsequent to the first time. The method further includes, based on the second condition being satisfied, generating an operational phase transition indication associated with the first time and that indicates an operational phase transition to the candidate operational phase.

A method and computer program product are provided for compressing and, in turn, for estimating the frame structure of time-multiplexed data. The time-multiplexed data may be received without an indication of the frame structure for the time-multiplexed data. As such, the frame structure of the time-multiplexed data may be estimated and the time-multiplexed data may be compressed at least partially in accordance with the estimation of the frame structure. The frame structure may be estimated by representing an estimation of frame structure with a tree structure. The tree structure may include a plurality of leaf nodes associated with a respective estimated signal sequence with a respective sampling rate and interleave location. The tree structure may include a plurality of tree branches with the estimation of the frame structure including at least one of splitting or merging tree branches.

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Kent, WA, United States of America

Brian Predmore