Flight data monitoring and validation

• US 9,346,557 B2
• Filed: 12/20/2012
• Issued: 05/24/2016
• Est. Priority Date: 04/16/2012
• Status: Active Grant

• Current Assignee: L3harris Flight Data Services Limited (L3Harris Technologies, Inc.)
• Original Assignee: Flight Data Services Incorporated
• Inventors: Rahman, Nadim, Fahimi, Farshad, Jesse, Dave, Jesse, Chris, Seldon, Anne
• Primary Examiner(s): MELTON, TODD M
• Application Number:
  US13/721,505
• Publication Number:
  US 20130274964A1
• Time in Patent Office: 1,251 Days
• Field of Search: 701/14, 702189-199
• US Class Current: 1/1
• CPC Class Codes: B64D 45/00 Aircraft indicators or protectors not otherwise provided for camouflage F41H3/00
• CPC Class Codes: G05B 23/0221 Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
• CPC Class Codes: G05D 1/0077 using redundant signals or controls
• CPC Class Codes: G07C 5/085 using electronic data carriers

Abstract

A computer-implemented flight data monitoring method is provided for monitoring flight data, for example flight data obtained by a flight data recorder or quick access recorder on an aircraft. The method comprises receiving input flight data, performing flight data validation on the input flight data to generate validated flight data, and performing flight data analysis on the validated flight data to detect at least one predetermined type of flight event. The events may be useful for generating an aircraft safety report, for example. By validating the data before performing the analysis, the number of events which are falsely detected based on invalid or unreliable data can be reduced.

Claims

1. A computer-implemented flight data monitoring method comprising:

receiving input flight data captured by an on-board recorder of an aircraft;

performing flight data validation on the input flight data to generate validated flight data; and

performing flight data analysis on the validated flight data to detect at least one predetermined type of flight event;

wherein the input flight data comprises a set of parameters sampled at time intervals providing a series of data values for each parameter; and

the flight data validation comprises a repeating pattern test for detecting occurrences of a repeating signal pattern in data values of a parameter of the input flight data based on a comparison of a first set of data values of said parameter of the input flight data with a subsequent set of data values of said parameter of the input flight data.

2. The flight data monitoring method according to claim 1, wherein the input flight data comprises a set of parameters sampled at time intervals providing a series of data values for each parameter.

3. The flight data monitoring method according to claim 2, wherein a data value or parameter which fails the flight data validation is identified as invalid.

4. The flight data monitoring method according to claim 3, wherein the flight data analysis excludes data values or a parameter identified as invalid by the flight data validation.

5. The flight data monitoring method according to claim 2, wherein the flight data validation comprises at least one of:

(a) a spike detection test for detecting spikes in the data values of a parameter of the input flight data;

(b) a range comparison test for determining whether data values of a parameter of the input flight data are within a predetermined range;

(c) a correlation test for determining a degree of matching between an actual relationship between two or more parameters of the input flight data and an expected relationship between the two or more parameters;

(d) a sampling rate analysis test for determining whether an actual sampling rate of a parameter of the input flight data substantially matches an expected sampling rate for that parameter;

(e) a change detection test for determining whether a parameter of the input flight data demonstrates an expected change of value;

(f) a noise detection test for determining whether a noise level of data values of a parameter of the input flight data exceeds a predetermined threshold; and

(g) an expected value test for determining whether data values of a parameter of the input flight data have an expected value or a value within an expected range.

6. A non-transitory computer-readable recording medium storing at least one computer program which, when executed on a computer, controls the computer to perform the method of claim 1.

7. A computer-implemented flight data monitoring system for monitoring input flight data captured by an on-board recorder of an aircraft, the flight data monitoring system comprising:

flight data validation circuitry configured to perform data validation processing on the input flight data to generate validated flight data; and

flight data analysis circuitry configured to analyse the validated flight data to detect at least one predetermined type of event;

wherein the input flight data comprises a set of parameters sampled at time intervals providing a series of data values for each parameter; and

the flight data analysis circuitry is configured to perform a repeating pattern test for detecting occurrences of a repeating signal pattern in data values of a parameter of the input flight data based on a comparison of a first set of data values of said parameter of the input flight data with a subsequent set of data values of said parameter of the input flight data.