Abstract: A trouble diagnosis apparatus which supports reproduction of trouble according to a trouble code provided from an electronic control unit of the vehicle. The apparatus comprises means for extracting, for at least one of the trouble codes, characteristics unique to the trouble code with respect to respective driving parameters, means for extracting, from said driving data associated with a plurality of trouble codes, global characteristics associated with a plurality of said trouble codes with respect to each one of said driving parameters, and for said at least one of the trouble codes, means, based on similarity between the characteristics unique to the trouble code and said global characteristics, for setting the portion of the characteristics unique to the trouble code that have low similarity as the driving data for reproducing the trouble corresponding to the trouble code.

Abstract: 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.

Abstract: A vehicle failure is diagnosed based on data recorded in an electronic control unit (ECU) of a vehicle. Driving data pertaining to multiple parameters which are stored in the electronic control unit of the vehicle for when a vehicle failure occurs are compared with reference values representing data during normal driving in order to diagnose a failure. The device utilizes an approximate search between inspection data, that is, driving data which are stored in the electronic control unit of the vehicle to be diagnosed for failure, and reference value groups categorized by driving environment, wherein a normal value range is set for each of the aforementioned parameters categorized by driving environment, and selects the reference value group categorized by driving environment which approximates the inspection data.

Abstract: A trouble diagnosis apparatus which supports reproduction of trouble according to a trouble code provided from an electronic control unit of the vehicle. The apparatus comprises means for extracting, for at least one of the trouble codes, characteristics unique to the trouble code with respect to respective driving parameters, means for extracting, from said driving data associated with a plurality of trouble codes, global characteristics associated with a plurality of said trouble codes with respect to each one of said driving parameters, and for said at least one of the trouble codes, means, based on similarity between the characteristics unique to the trouble code and said global characteristics, for setting the portion of the characteristics unique to the trouble code that have low similarity as the driving data for reproducing the trouble corresponding to the trouble code.

Abstract: A vehicle failure is diagnosed based on data recorded in an electronic control unit (ECU) of a vehicle. Driving data pertaining to multiple parameters which are stored in the electronic control unit of the vehicle for when a vehicle failure occurs are compared with reference values representing data during normal driving in order to diagnose a failure. The device utilizes an approximate search between inspection data, that is, driving data which are stored in the electronic control unit of the vehicle to be diagnosed for failure, and reference value groups categorized by driving environment, wherein a normal value range is set for each of the aforementioned parameters categorized by driving environment, and selects the reference value group categorized by driving environment which approximates the inspection data.

Abstract: 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.