Abstract: The present disclosure provides a method for operating a measurement system comprising at least one measurement application device, the method comprising receiving a sequence of control commands provided in the measurement system, automatically optimizing the recorded sequence of control commands for improving execution speed of the sequence of control commands in the measurement system, and controlling the measurement system based on the optimized sequence of control commands. Further, the present disclosure provides a respective measurement system controller, and a respective measurement system.

Abstract: A circuit for controlling a switch of a power converter. The circuit includes loop control circuitry configured to generate a control signal based on a feedback signal for the power converter and undervoltage circuitry. The undervoltage circuitry is configured to compare a voltage for a capacitor of the power converter with a voltage threshold. The undervoltage circuitry is further configured to, in response to the voltage for the capacitor of the power converter being greater than the voltage threshold, generate a switching signal to drive a switch of the power converter based on the control signal. The undervoltage circuitry is further configured to, in response to the voltage for the capacitor of the power converter being less than the voltage threshold, generate the switching signal to drive the switch of the power converter to the switched-in state until an inductor current is greater than an electrical current threshold.

Abstract: The present disclosure provides a method for operating a measurement system that comprises at least one measurement application device and at least one device under test, the method comprising centrally configuring the measurement system for a test measurement, centrally verifying the correct setup of the measurement system, and performing the test measurement with the measurement system. In addition, the present disclosure provides a respective central test control unit and a respective measurement system.

Abstract: Machine learning is used to classify a pleasantness of a sound emitted from a device. A plurality of pleasantness ratings from human jurors are received, each pleasantness rating corresponding to a respective one of a plurality of sounds emitted by one or more devices. Differences between each pleasantness rating and each of the other pleasantness ratings is determined via pairwise comparisons. These differences are converted into binary values based on which pleasantness rating is higher or lower in each comparison. Measurable sound qualities are received associated with the sounds. Second differences between each of the measurable sound qualities and every other of the plurality of measured sound qualities is determined in pairwise fashion. A classification model is trained to classify sound pleasantness by comparing the binary values with the second differences.

Abstract: The invention relates to a method for removing a rotor (100) of a generator (4) in a turbine plant (1) in which the generator (4) is driven by at least one turbine (7), in particular a gas turbine or steam turbine, in which the turbine (7) is opened and the rotor (39) of the turbine (7) is removed, and only then is the rotor of the generator (4) pulled out of the generator (4) so that it is located in the lower housing half of the turbine (7).

Abstract: Machine learning is used to predict a pleasantness of a sound emitted from a device. A plurality of pleasantness ratings from human jurors are received, each pleasantness rating corresponding to a respective one of a plurality of sounds emitted by one or more devices. A microphone system detects a plurality of measurable sound qualities (e.g., loudness, tonality, sharpness, etc.) of these rated sounds. A regression prediction model is trained based on the jury pleasantness ratings and the corresponding measurable sound qualities. Then, the microphone system detects measurable sound qualities of an unrated sound that has not been rated by the jury. The trained regression prediction model is executed on the measurable sound quality of the unrated sound to yield a predicted pleasantness of the unrated sound.

Abstract: A system includes a processor in communication with one or more sensors. The processor is programmed to receiving, from the one or more sensors, vibrational information and sound information associated with the vibrational information from a test device, generating a training data set utilizing at least the vibrational data and the sound information associated with the vibrational data, wherein the training data set is sent to a machine learning model configured to output sound predictions, receiving real-time vibrational data from a run-time device running an actuator or electric dive emitting the real-time vibrational data, and based on the machine learning model and the real-time vibrational data, output a sound prediction indicating a purported sound emitted from the run-time device.

Abstract: A system includes a processor, wherein the processor is programmed to receive sound information and vibrational information from a device in a first environment, generate a training data set utilizing at least the vibrational information and a sound perception score associated with the corresponding sound of the vibrational information, wherein the training data set is fed into an un-trained machine learning model, in response to meeting a convergence threshold of the un-trained machine learning model, outputting a trained machine learning model, receive real-time vibrational information from the device in a second environment, and based on the real-time vibrational information as an input to the trained machine learning model, output a real-time sound perception score indicating characteristics associated with sound emitted from the device.

Abstract: A method includes, in response to at least one convergence criterion not being met: receiving a labeled dataset that includes a plurality of labeled samples; receiving an unlabeled dataset that includes a plurality of unlabeled samples; identifying a plurality of labeled-unlabeled sample pairs; applying a data augmentation transformation to each labeled sample and each corresponding unlabeled sample; computing, for each least one labeled-unlabeled sample pair, latent representation spaces using the machine learning model; generating, using the machine learning model, a label prediction for each unlabeled sample for each labeled-unlabeled sample pair; computing a loss function for each labeled-unlabeled sample pair of the plurality of labeled-unlabeled sample pairs based on respective latency representation spaces and respective label predictions; applying an optimization function to each respective loss function; and updating a weight value for each labeled-unlabeled sample pair of the plurality of labeled-un

Abstract: A method includes receiving a labeled dataset that includes a plurality of labeled samples and initially training the machine learning model using the labeled dataset. The method also includes receiving an unlabeled dataset that includes a plurality of unlabeled samples. The method also includes computing latent representation spaces for each respective sample of the plurality of labeled samples and each respective sample of the plurality of the unlabeled samples. The method also includes generating a k-nearest neighbor similarity graph based on the latent representation spaces, generating a combined similarity graph by augmenting the k-nearest neighbor similarity graph using an expert-derived similarity graph, and propagating, using the combined similarity graph, labels to each respective sample of the plurality of unlabeled samples.

Abstract: A burner module according to the invention comprises at least three or four or five or six or seven or eight functional walls which delimit at least one first functional space and form a module body, wherein the module body has at least three or four or five or six or six or seven gas passage openings and at least two of these gas passage openings are connected to one another communicatively via the first functional space, and wherein at least one nozzle device having a fuel gas opening is formed in an upper wall of the burner module, which fuel gas opening is connected communicatively to the first functional space via a gas channel. The burner module is produced in an additive manner.

Abstract: A method of customized setting at least one measurement device, comprises the steps of setting an intended measurement setup on the at least one measurement device manually via a user interface, recording, via a command recorder, at least one remote control command assigned to the manual setting of the intended measurement setup, converting the at least one remote control command recorded into specific instructions, and generating a standalone executable code at least based on the specific instructions obtained from the remote control command recorded. Further, a measurement system is provided.

Abstract: The present invention relates to an enhanced control of a measurement device displaying a signal waveform of a measurement signal. For this purpose, the waveform of the measurement signal is displayed on a touch-screen. The touch-screen receives multi-digit touch gestures comprising at least two touch gestures. The touch gestures of the multi-digit touch gesture are analyzed in order to determine simultaneously an operation and a range of the measurement signal on which the determined operation has to be applied. In this way, the control of the measurement device can be simplified.

Abstract: The invention relates to a user interface control device, comprising display; an input key that can be pressed by a user, and a processor configured to register a starting time and a duration of a key press on the input key, wherein the processor is configured to assign a first function to the input key if the duration of the key press is shorter or equal to a threshold time value, and wherein the processor is configured assign a second function to the input key if the duration of the key press exceeds the threshold time value, wherein the display is configured to display a graphical element, which indicates a duration of the key press at least until the threshold time value is reached.

Abstract: A burner module according to the invention comprises at least three or four or five or six or seven or eight functional walls which delimit at least one first functional space and form a module body, wherein the module body has at least three or four or five or six or six or seven gas passage openings and at least two of these gas passage openings are connected to one another communicatively via the first functional space, and wherein at least one nozzle device having a fuel gas opening is formed in an upper wall of the burner module, which fuel gas opening is connected communicatively to the first functional space via a gas channel. The burner module is produced in an additive manner.

Abstract: A frame trigger recreation method is provided. Said frame trigger recreation method comprises the steps of generating a periodic trigger on the basis of a receiver clock with at least one period adjustment and at least one offset based on a difference between the receiver clock and a transmitter clock.

Abstract: A frame trigger recreation method is provided. Said frame trigger recreation method comprises the steps of generating a periodic trigger on the basis of a receiver clock with at least one period adjustment and at least one offset based on a difference between the receiver clock and a transmitter clock.

Abstract: Recording of a control command sequence related to multiple devices. Each of the multiple devices may receive user input by a user inter-face, and the received user input may be converted to appropriate control commands. Timestamp information is assigned to each control command, and the control commands of the multiple devices are merged together to a common control command sequence based on the assigned timestamp information.

Abstract: A method of customized setting at least one measurement device, comprises the steps of setting an intended measurement setup on the at least one measurement device manually via a user interface, recording, via a command recorder, at least one remote control command assigned to the manual setting of the intended measurement setup, converting the at least one remote control command recorded into specific instructions, and generating a standalone executable code at least based on the specific instructions obtained from the remote control command recorded. Further, a measurement system is provided.

Abstract: The present invention relates to an enhanced control of a measurement device displaying a signal waveform of a measurement signal. For this purpose, the waveform of the measurement signal is displayed on a touch-screen. The touch-screen receives multi-digit touch gestures comprising at least two touch gestures. The touch gestures of the multi-digit touch gesture are analyzed in order to determine simultaneously an operation and a range of the measurement signal on which the determined operation has to be applied. In this way, the control of the measurement device can be simplified.