Generation of reference value for vehicle failure diagnosis

Data during normal driving is generated using travel data during the occurrence of a failure or the like, the travel data being accumulated into ordinary vehicles traveling in a city or other places on a daily basis. A failure diagnosis of a vehicle is performed by comparing a reference value with t...

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Hauptverfasser: SATO YASUSHI, TSUCHIKIRI HIDEYUKI, AIHARA JIRO
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creator SATO YASUSHI
TSUCHIKIRI HIDEYUKI
AIHARA JIRO
description Data during normal driving is generated using travel data during the occurrence of a failure or the like, the travel data being accumulated into ordinary vehicles traveling in a city or other places on a daily basis. A failure diagnosis of a vehicle is performed by comparing a reference value with the time sequence electronic control unit (ECU) data of a plurality of driving parameters during the occurrence of a failure, the data being stored into a storage device in the ECU of the vehicle when a failure of the vehicle has occurred. The time sequence ECU data obtained from a large number of vehicles are sequentially accumulated and stored and the numerical vectors of the accumulated time sequence ECU data are generated. The numerical vectors are clustered and classified into a plurality of clusters according to the characteristics. In each of the plurality of clusters, a range of high occurrence rate values is obtained for the values of the respective driving parameters. The obtained range of high occurrence rate values is then stored as a range of the normal values of the driving parameters, and the range of the normal values is set as the reference value for a failure diagnosis.
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A failure diagnosis of a vehicle is performed by comparing a reference value with the time sequence electronic control unit (ECU) data of a plurality of driving parameters during the occurrence of a failure, the data being stored into a storage device in the ECU of the vehicle when a failure of the vehicle has occurred. The time sequence ECU data obtained from a large number of vehicles are sequentially accumulated and stored and the numerical vectors of the accumulated time sequence ECU data are generated. The numerical vectors are clustered and classified into a plurality of clusters according to the characteristics. In each of the plurality of clusters, a range of high occurrence rate values is obtained for the values of the respective driving parameters. 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subjects ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE
CHECKING-DEVICES
GENERATING RANDOM NUMBERS
MEASURING
MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUIDLEVEL
METERING BY VOLUME
PERFORMING OPERATIONS
PHYSICS
REGISTERING OR INDICATING THE WORKING OF MACHINES
SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, ORMANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
TESTING
TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES
TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
TIME OR ATTENDANCE REGISTERS
TRANSPORTING
VEHICLES IN GENERAL
VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISEPROVIDED FOR
VOTING OR LOTTERY APPARATUS
title Generation of reference value for vehicle failure diagnosis
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