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METHOD FOR DETECTING AND VALIDATING ANOMALOUS STRESSES OF A TRANSPORTATION VEHICLE RECORDED BY AN ON-BOARD DEVICE ADAPTED TO ACQUIRE DATA RELATIVE TO MOTION AND/OR DRIVING PARAMETERS OF A TRANSPORTATION VEHICLE
METHOD FOR DETECTING AND VALIDATING ANOMALOUS STRESSES OF A TRANSPORTATION VEHICLE RECORDED BY AN ON-BOARD DEVICE ADAPTED TO ACQUIRE DATA RELATIVE TO MOTION AND/OR DRIVING PARAMETERS OF A TRANSPORTATION VEHICLE
A method for detecting and validating anomalous stresses of a transportation vehicle recorded and transmitted to a remote processing station by an on-board device adapted to acquire data relative to motion and/or driving parameters of a transportation vehicle, comprising steps of: applying to data representative of an anomalous stress to be validated, recorded and transmitted by the on-board device, by the remote processing station, at least one first correlation filter based on a neural network, wherein applying comprising steps of: comparing the data representative of an anomalous stress with the data respectively stored in a database of data representative of basic anomalous stresses of true type and a the database of data representative of basic anomalous stresses of false type; on the basis of result of the step of comparing, validating the anomalous stress as a true event or as a false event.
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