COMPUTER-IMPLEMENTED METHOD AND DEVICE FOR A MANIPULATION DETECTION FOR EXHAUST GAS TREATMENT SYSTEMS WITH THE AID OF ARTIFICIAL INTELLIGENCE METHODS
A computer-implemented method for detecting a manipulation of a technical device. The method includes: providing time characteristics of operating variables having system variable(s) and/or a correction variable for an intervention in the technical device which correspond to time series of values of...
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Main Authors | , , , |
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Format | Patent |
Language | English |
Published |
28.07.2022
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Abstract | A computer-implemented method for detecting a manipulation of a technical device. The method includes: providing time characteristics of operating variables having system variable(s) and/or a correction variable for an intervention in the technical device which correspond to time series of values of the operating variables for each of consecutive time steps; using a data-based manipulation detection model in each current time step to ascertain one or more output variable(s) that correspond at least to a portion of the operating variables as a function of input variables which include at least a portion of the operating variables. The manipulation detection model includes an autoencoder having a first recurrent neural network, a prediction model having a second recurrent neural network, and an evaluation model, the outputs of the autoencoder and the prediction model being combined with one another and then conveyed to an evaluation model for an ascertainment of the output variables. |
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AbstractList | A computer-implemented method for detecting a manipulation of a technical device. The method includes: providing time characteristics of operating variables having system variable(s) and/or a correction variable for an intervention in the technical device which correspond to time series of values of the operating variables for each of consecutive time steps; using a data-based manipulation detection model in each current time step to ascertain one or more output variable(s) that correspond at least to a portion of the operating variables as a function of input variables which include at least a portion of the operating variables. The manipulation detection model includes an autoencoder having a first recurrent neural network, a prediction model having a second recurrent neural network, and an evaluation model, the outputs of the autoencoder and the prediction model being combined with one another and then conveyed to an evaluation model for an ascertainment of the output variables. |
Author | Hanselmann, Markus Strauss, Thilo Branz, Thomas Buchner, Jens Stefan |
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Snippet | A computer-implemented method for detecting a manipulation of a technical device. The method includes: providing time characteristics of operating variables... |
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SubjectTerms | BLASTING CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ENGINE PLANTS IN GENERAL GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNALCOMBUSTION ENGINES GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES ORENGINES IN GENERAL HEATING LIGHTING MACHINES OR ENGINES IN GENERAL MECHANICAL ENGINEERING PHYSICS STEAM ENGINES WEAPONS |
Title | COMPUTER-IMPLEMENTED METHOD AND DEVICE FOR A MANIPULATION DETECTION FOR EXHAUST GAS TREATMENT SYSTEMS WITH THE AID OF ARTIFICIAL INTELLIGENCE METHODS |
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