Fault isolation method and apparatus in artificial...

Details Fault isolation method and apparatus in artificial... Fault isolation method and apparatus in artificial...

2007-08-14

2007-08-14

Beaulieu, Y (Department: 3661)

Data processing: vehicles, navigation, and relative location

Vehicle control, guidance, operation, or indication

Aeronautical vehicle

C701S029000

Reexamination Certificate

active

10977442

ABSTRACT:
A method providing fault isolation, in an air data system which uses artificial intelligence to generate an air data parameter, includes generating the air data parameter as a function of a plurality of measured values such as static pressures. Then, estimates of each of the plurality of measured values is generated as a function of the generated air data parameter. Each measured value can then be compared to its corresponding estimate to determine if a difference between the measured value and its corresponding estimate exceeds a threshold and therefore indicates a fault in a device which provides the measured value.

REFERENCES:
patent: 3318146 (1967-05-01), DeLeo et al.
patent: 4096744 (1978-06-01), DeLeo et al.
patent: 4303978 (1981-12-01), Shaw et al.
patent: 4378696 (1983-04-01), DeLeo et al.
patent: 4378697 (1983-04-01), DeLeo et al.
patent: 4615213 (1986-10-01), Hagen
patent: 4644538 (1987-02-01), Cooper et al.
patent: 4836019 (1989-06-01), Hagen et al.
patent: 4987542 (1991-01-01), Tran
patent: 5205169 (1993-04-01), Hagen
patent: 5319970 (1994-06-01), Peterson et al.
patent: 5369993 (1994-12-01), Hagan
patent: 5423209 (1995-06-01), Nakaya et al.
patent: 5485412 (1996-01-01), Sarkkinen et al.
patent: 5610845 (1997-03-01), Slabinski et al.
patent: 5616861 (1997-04-01), Hagen
patent: 5710559 (1998-01-01), Krogmann
patent: 5797105 (1998-08-01), Nakaya et al.
patent: 5819188 (1998-10-01), Vos
patent: 5901272 (1999-05-01), Schaefer, Jr. et al.
patent: 6073084 (2000-06-01), Le Tron
patent: 6253166 (2001-06-01), Whitmore et al.
patent: 6305218 (2001-10-01), Foster
patent: 6466888 (2002-10-01), McCool et al.
patent: 6561020 (2003-05-01), Glenney
patent: 6594559 (2003-07-01), Alwin et al.
patent: 6604029 (2003-08-01), Cronin et al.
patent: 6609421 (2003-08-01), Cronin et al.
patent: 6668640 (2003-12-01), Alwin et al.
patent: 6761057 (2004-07-01), Cronin et al.
patent: 2003/0050766 (2003-03-01), Cronin et al.
patent: 2004/0122615 (2004-06-01), Cronin et al.
patent: 2006/0155506 (2006-07-01), Cronin et al.
patent: 2006/0212181 (2006-09-01), Cronin et al.
patent: 37 27 906 (1989-03-01), None
patent: 44 10 709 (1995-10-01), None
patent: 1 256 811 (2002-11-01), None
patent: 1 293 784 (2003-03-01), None
patent: 1176381 (1967-02-01), None
patent: 2 041 136 (1995-08-01), None
patent: 2 103 718 (1998-01-01), None
patent: WO99/32963 (1999-07-01), None
Sastry et al., C. V., “Failure management scheme for use in a flush air data”, Aircraft Design 4, pp. 151-162, 2001, no month.
Stickney et al., T. M., “Total Temperature Sensors, Technical Report 5755, Revision C”, Rosemount Aerospace/BFGoodrich, Jan. 1994.
“BFGoodrich-Aircraft Sensors Division Air Data System with SmartProbe for Fairchiled Dornier 728JET”, BFGoodrich-Rosemount Aerospace, Addendum to D9820217 Rev. B, Oct. 1998, pp. 1-10.
“SmartProbe™ Air Data System for Embraer ERJ-170 & 190”, BFGoodrich-Aircraft Sensors Division, Proposal D9920133, Apr. 1999, pp. 1-65.
F.W. Hagen and Dr. H. Seidel, “Deutsche Airbus Flight Test of Rosemount Smart Probe for Distributed Air Data System”, IEEE AES Systems Magazine, Apr. 1994, pp. 7-14.
Bulletin 1013, “Pitot and Pitot-Static Probes”, BFGoodrich (May 1998).
Bohloff et al., T. J., “Air Data Sensing from Surface Pressure Measurements Using a Neural Network Method”, AIAA Journal, Vo. 36, No. 11, Nov. 1998, pp. 2094-2101.
Rohloff et al., T.J., “Fault-Tolerant Neural Network Algorithm for Flush Air Data Sensing”, Journal of Aircraft, vol. 36, No. 3, May-Jun. 1999, pp. 541-549.
Rohloff, T.J., “Fault-Tolerance and Extrapolation Stability of a Neural Network Air-Data Estimator”, Journal of Aircraft, vol. 36, No. 3, May-Jun. 1999, pp. 571-576.
“What is an Artificial Neural Network?”, Battelle Memorial Institute (Copyright 1997), (Publication at least by Apr. 9, 2001), http://www.emsl.pnl.gov:2080/proj
euron
eural/what.html.
C. Stergiou, “What is a Neural Network?”, (Publication at least by Apr. 9, 2001), http://www.doc.ic.ac.uk/˜nd/surprise—96/journal/vol1/cs11/article1.html.
D. Clark, “An Introduction to Neural Networks”, Copyright 1991, 1997 (Publication at least by Apr. 9, 2001), http://members.home.net
euralnet/introtonn/index.htm.
Search Report issued by the U.K. Patent Office in Application No. GB0519751.2.
Search Report issued by the U.K. Patent Office in Application No. GB0605207.0.

Affiliated with

Also associated with

Rating

Fault isolation method and apparatus in artificial... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Fault isolation method and apparatus in artificial..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Fault isolation method and apparatus in artificial... will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3870972