SENSOR FAULT DETECTION AND IDENTIFICATION USING RESIDUAL FAILURE PATTERN RECOGNITION

Systems, methods, and apparatus for sensor fault detection and identification using residual failure pattern recognition are disclosed. In one or more embodiments, a method for sensor fault detection and identification for a vehicle comprises sensing, with sensors (120, 130, 140, 150) located on the...

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Bibliographische Detailangaben
Hauptverfasser:	WHITEHEAD, Brian T, RUPNIK, Brian K, NAJMABADI, Kioumars, LI, Sherwin C
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	AIRCRAFT ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSIONTRANSMISSIONS IN AIRCRAFT AVIATION COSMONAUTICS EQUIPMENT FOR FITTING IN OR TO AIRCRAFT FLYING SUITS GYROSCOPIC INSTRUMENTS INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION,OR SHOCK MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR NAVIGATION PARACHUTES PERFORMING OPERATIONS PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS SURVEYING TARIFF METERING APPARATUS TESTING TRANSPORTING
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Beschreibung
Zusammenfassung:	Systems, methods, and apparatus for sensor fault detection and identification using residual failure pattern recognition are disclosed. In one or more embodiments, a method for sensor fault detection and identification for a vehicle comprises sensing, with sensors (120, 130, 140, 150) located on the vehicle (110), data. The method further comprises performing majority voting on the data (325a ... 325d) for each of the types of data to generate a single voted value (350a ... 350d) for each of the types of data. Also, the method comprises generating, for each of the types of data, estimated values (420a ... 420d) by using some of the voted values. In addition, the method comprises generating residuals (r1 ... r4) by comparing the estimated values to the voted values. Further, the method comprises analyzing a pattern of the residuals to determine which of the types of the data is erroneous to detect and identify a fault experienced by at least one of the sensors on the vehicle.