Abstract: A method for operating an injection valve by ascertaining an opening time and/or closing time of the injection valve on the basis of a sensor signal. The method includes: providing an analysis point time series by sampling a sensor signal of a sensor of the injection valve; using a nonlinear, data-based first submodel in order to obtain a first model output on the basis of the analysis point time series; using a linear, data-based second submodel in order to obtain a second model output on the basis of the analysis point time series; ascertaining the opening time and/or closing time as a function of the first and second model outputs.

Abstract: A method for operating an injection valve by determining an opening or closing time of the injection valve based on a sensor signal. The method includes: providing an evaluation point time series by sampling a sensor signal of a sensor of the injection valve; using a non-linear data-based first sub-model to obtain a first output vector based on the evaluation point time series, wherein each element of the first output vector is associated with a specific time; using a linear, data-based second sub-model to obtain a second output vector based on the evaluation point time series, wherein each element of the second output vector is associated with a specific time; limiting the time determined by the first output vector depending on the second output vector in order to obtain the opening or closing time.

Abstract: A method for training a data-based evaluation model to determine an opening or closing time of an injection valve based on a sensor signal. The method includes: measuring an operation of the injection valve in order to determine at least one sensor signal and an associated opening or closing time; sampling the sensor signal at a sampling rate in order to obtain a sensor signal time series with sensor signal values; determining a plurality of training data sets by assigning a plurality of evaluation point time series generated from a sensor signal time series to the opening or closing time associated with the sensor signal, wherein the evaluation point time series has a lower temporal resolution than the sensor signal time series; training the data-based evaluation model depending on the determined training data sets.

Abstract: A computer-implemented method for training a data-based time determining model for determining an opening or closing time of an injection valve based on a sensor signal. The method includes: providing an unlabeled analysis point time series by sampling the sensor signal of a sensor of the injection valve; training the data-based time determining model to assign a time specification which represents a specific opening or closing duration to an analysis point time series, the training process being carried out using a first shifting function to time-shift the analysis point time series and a second shifting function in order to time-shift the time specification. A consistency loss function is used for the training process.

Abstract: A method for operating an injection valve by ascertaining an opening time and/or closing time of the injection valve on the basis of a sensor signal. The method includes: providing an analysis point time series by sampling a sensor signal of a sensor of the injection valve; using a nonlinear, data-based first submodel in order to obtain a first model output on the basis of the analysis point time series; using a linear, data-based second submodel in order to obtain a second model output on the basis of the analysis point time series; ascertaining the opening time and/or closing time as a function of the first and second model outputs.

Abstract: A computer-implemented method for ascertaining a closure point in time of an injector of an internal combustion engine using a classifier. The method includes: ascertaining a time series of input signals, each corresponding to a point in time within the time series, and each characterizing a deformation of the injector; ascertaining a plurality of first values using the classifier based on the time series, in each case a first value corresponding to a point in time of the time series, and the first value characterizing a probability that the closure point in time of the injector matches the point in time; ascertaining a plurality of second values, each being a sum of neighboring first values, of a first value and the first value, the second value corresponding to the point in time to which the first value corresponds; ascertaining the closure point in time based on the largest second value.

Abstract: A computer-implemented method for ascertaining a closure point in time of an injector of an internal combustion engine using a classifier. The method includes: ascertaining a time series of input signals, each corresponding to a point in time within the time series, and each characterizing a deformation of the injector; ascertaining a plurality of first values using the classifier based on the time series, in each case a first value corresponding to a point in time of the time series, and the first value characterizing a probability that the closure point in time of the injector matches the point in time; ascertaining a plurality of second values, each being a sum of neighboring first values, of a first value and the first value, the second value corresponding to the point in time to which the first value corresponds; ascertaining the closure point in time based on the largest second value.

Abstract: A procedure to calculate the Lambda value with a wideband Lambda sensor of an internal combustion engine of a motor vehicle is thereby characterized, in that from the measured pumping electricity and the sensitivities of the wideband Lambda sensor as well as the gas concentration ratios, in the lean operation an oxygen concentration and in the rich operation an oxygen deficit are determined and from these respectively a conclusion is drawn about the Lambda value using the Pischinger Formula.

Abstract: A procedure to calculate the Lambda value with a wideband Lambda sensor of an internal combustion engine of a motor vehicle is thereby characterized, in that from the measured pumping electricity and the sensitivities of the wideband Lambda sensor as well as the gas concentration ratios, in the lean operation an oxygen concentration and in the rich operation an oxygen deficit are determined and from these respectively a conclusion is drawn about the Lambda value using the Pischinger Formula.

Abstract: The invention relates to a method for testing the functionality of a spectrometer for faults comprising at least one radiation source, one filter arrangement for separating the radiation into different wavelength ranges, and one receiving arrangement. The invention also relates to a spectrometer comprising a fault recognition device. Reference values are generated at at least two different color temperatures of the radiation source and in the different wavelength ranges. Actual received signals at at least two color temperatures to be set are compared with the reference values in order to test the spectrometer. In the occurrence of variations, the type of variation is determined according to the wavelength ranges and the color temperatures, and definite faults are concluded from the type of variation.

Abstract: In a process for recognizing organic substances in solids by measuring the spectram of the radiation which is reflected or transmitted, radiation with a wavelength between 2-4 &mgr;m is used and, for radiation of solids, unmodulated radiation is used. The radiation source should have an output of at least 50 W and the distance between the illumination optics from the solid being investigated should be at least 10 cm. Recognition is based on absorption bands of the extended oscillations of C—H bonds and sometimes the presence of absorption bands of N—H bonds. Broad band radiation is preferable for radiation of the solids, and the reflected or transmitted radiation is directed through a narrow band filter with adjustable transmission frequency. This can be advantageously formed with an acousto-optical filter.

Abstract: A method and apparatus for use in the recycling of post consumer or post industrial waste carpet or Polyamide-6 and/or Polyamide-66 containing non-carpet waste utilizes a hand-held portable device utilizing spectroscopic principles to accurately and quickly identify the material of the waste (carpet). The spectrometer envisioned for this task includes an infrared radiation source for illuminating the waste (carpet) sample, a selector for selecting a predetermined number of discrete wavelengths and a detection system to detect reflected radiation within the discrete wavelengths. The selector can be either a plate with a plurality of slots which positionally correspond to locations in a dispersed light beam according to the predetermined discrete wavelengths or a plurality of filters selected to pass the discrete wavelengths. The selection of the discrete wavelengths can either take place before the carpet sample is irradiated or can take place by selecting the discrete wavelengths from reflected radiation.