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 Buchner, Jens Stefan, Branz, Thomas, Hanselmann, Markus, Strauss, Thilo
Format Patent
LanguageEnglish
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.
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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