Abstract: A machine tool includes a machine element, an active vibration damper arranged on a region of the machine tool for damping a vibration of the machine element, and a vibration sensor facility arranged to detect the vibration of the machine element at a first point and at a second point of the machine tool, with the vibration of the machine element to be detected being smaller at the second point than at the first point. The active vibration damper is designed to damp the vibration of the machine element as a function of a variation between a first actual value detected by the vibration sensor facility at the first point and a second actual value detected by the vibration sensor facility at the second point.

Abstract: In a method for monitoring a winding temperature of a winding of an electric machine powered by a converter, a heating power applied to the winding of the electric machine is determined and evaluated using a thermal model. A relative increase in a resistance of the winding, when the winding heats up, is determined from the heating power in comparison with a standard reference value for 20° C. winding temperature. The winding temperature is calculated from the relative increase in the resistance, and a warning signal and/or a switch-off signal is generated when a critical winding temperature value is exceeded.

Abstract: Deep learning is used to train a neural network for end-to-end prediction of short term (e.g., 20 minutes or less) solar irradiation based on camera images and metadata. The architecture of the neural network includes a recurrent network for temporal considerations. The images and metadata are input at different locations in the neural network. The resulting machine-learned neural network predicts solar irradiation based on camera images and metadata so that a solar plant and back-up power source may be controlled to minimize output power variation.

Abstract: Methods for generating a deep neural net and for localizing an object in an input image, the deep neural net, a corresponding computer program product, and a corresponding computer-readable storage medium are provided. A discriminative counting model is trained to classify images according to a number of objects of a predetermined type depicted in each of the images, and a segmentation model is trained to segment images by classifying each pixel according to what image part the pixel belongs to. Parts and/or features of both models are combined to form the deep neural net. The deep neural net is adapted to generate, in a single forward pass, a map indicating locations of any objects for each input image.

Abstract: A system and method for estimation of grid impedance in a power converter controller is disclosed in which a current controller is provided to inject an injection current while operating online and coupled to a power grid at a point of common coupling (PCC), the injection current being benign to an operating current of the power converter. A voltage controller is provided to regulate input voltage of the power converter. An impedance module is provided to determine parameters for the injection current, including injection interval and duration, current magnitude, current frequency, and symmetrical components. The impedance module may extract measurements of current and voltage at the PCC at an operating point shifted from a previous operating point in response to the injection current. The impedance module may extract symmetrical components of current and voltage measurements, and compute estimated grid impedance based on the extracted symmetrical components.

Abstract: A pressure measuring cell or flow rate measuring cell includes a pipe piece in which either a membrane to which a pressure that is to be measured is applied or an orifice plate is arranged in the cross-section through which a fluid flows, wherein the membrane or orifice plate and the pipe piece are formed together and interconnected via a solid-body joint, where a sensor is arranged outside the pipe piece near the solid-body joint or is accessible from this side, a tubular carrier part diverts forces past the solid-body joint when the pressure or flow rate measurement cell is being installed, and where the tubular carrier part has an inner diameter that is greater than the outer diameter of the pipe piece and has a wall in its cross section with a central circular opening, into which the pipe piece shortened to the thickness of the wall is inserted.

Abstract: Various embodiments of the teachings herein include anomaly detection methods for a dynamic control system. An example method includes: using a g network to initialize a hidden state distribution of the system; receiving a measurement value of a sensor and a state value of a trigger at a current point of time; receiving a sampling point into an f network to perform a prediction to obtain a second sampling point; using an h network to map the second sampling point into a sensor measurement value space to perform a prediction to obtain a probability distribution of a measurement value of the sensor in the dynamic control system at the current point of time; and determining whether an anomaly exists in the dynamic control system by comparing the measurement value obtained from real-time monitoring and the probability distribution obtained from a prediction.

Abstract: A model optimization method for additive manufacturing may include: acquiring an explicit model of a concept design for additive manufacturing; converting the explicit model to an implicit model represented by a signed distance field formed by a shortest distance from each voxel in a working space to a boundary point of the concept design; determining an unfeasible geometric feature for current additive manufacturing and a detection threshold corresponding thereto; subjecting the implicit model to unfeasible geometric feature detection and iterative processing for correction and optimization based on the detection threshold of the determined unfeasible geometric feature, to obtain an optimized implicit model; and converting the optimized implicit model to an optimized explicit model.

Abstract: Various embodiments include a cyber-physical system for the automated cleaning of the edge regions of traffic routes and/or green spaces. The system may include: modules of a first type, a second type, and a third type; a communication network; and associated interfaces. The first type identifies a disturbing object. The second type receives the data from the first. The second type comprises a processor in a management system which processes the data and trains neural networks with the data using an artificial intelligence. The management system communicates with the third type and causes it to start a manipulator connected for picking up the disturbing object and/or transporting it away. Each module comprises a respective data memory and a respective processor and can start an action independently.

Abstract: Various teachings of the present disclosure include an electrical switching device. The device may include: two contactable conductor elements with adjustable spacing set by a movement apparatus; and a housing defining a switching chamber and at least partially surrounding the at least two conductor elements. The housing has an insulator body and regions of an electrical contact. The housing includes an external refraction-controlling coating with a dielectrically insulating matrix made of a material with a permittivity ?r>/=2.

Abstract: The disclosure relates to methods for a communication between a sensor and a satellite, and sensors for carrying out such a method. The sensor has a transmission unit for transmitting sensor data from the sensor to the satellite and a computing unit for calculating the position of the satellite at a specified point in time. The satellite is configured to receive and forward the sensor data. The method includes calculating a coverage duration using path parameters of the satellite and the position of the sensor, activating the transmission unit of the sensor during a transmission duration based on the calculated coverage duration, and transmitting the sensor data from the sensor to the satellite during the transmission duration.

Abstract: A universal measurement input for connecting a small signal transformer to an electrical device includes an electrical input for connecting a connection line of the small signal transformer, an electrical output for outputting a measurement signal to the electrical device, and a correction element having a digital filter with a filter transfer function adapted to the small signal transformer. In order to provide a measurement input with which all possible types of small signal transformers can be connected to an electrical device and which thus reduces the device variety of measurement inputs which are to be provided, the filter transfer function of the correction element is defined by a parameter set to be variably preset specifically for the small signal transformer. An electrical device with the measurement input is also provided.

Abstract: A DC voltage grid includes an electrical conductor electrically interconnecting electrical components, with a DC voltage applied between parts of the electrical conductor. An actuator is configured to vary the DC voltage such that a value of the DC voltage depends on at least one state of the DC voltage grid. Information about the at least one state is transmitted to the electrical components of the DC voltage grid by way of the DC voltage. A wind farm having wind turbines connected to such a DC voltage grid and a method for operating such a DC voltage grid or such a wind farm are also disclosed. The DC voltage of the DC voltage grid is controlled or regulated depending on a state of the DC voltage grid.

Abstract: Industrial technical plant controlled and monitored by a process control, wherein a visualization system requests a history of selected process datum for that display period from a process control system and outputs the associated profile as a graphic forming process data points, where the visualization system determines the particular process data point as the average or median of the values of the selected process datum in a collection period characteristic of the particular process data point and where, for the particular process data point, the visualization system also determines the minimum and/or the maximum values of the selected process datum during the collection period such that whenever the minimum is below a predefined minimum value and/or the maximum exceeds a predefined maximum value, the visualization system indicates, together with the particular process data point, a secondary alarm not set by the process control system, but set by the visualization system.

Abstract: Systems and methods for additively manufacturing or repairing a component from a base material. The system may include an inoculation source to direct inoculation materials and a laser metal deposition (LMD) system to direct laser energy during laser processing of additive materials deposited in a melt pool on the base material. The LMD system includes a laser energy source configured to direct laser energy towards the base material and inoculation materials to form the melt pool thereon and to process the deposited additive materials and inoculation materials to form layers on the base material upon solidification.

Abstract: A device for monitoring a shaft coupling coupling a first shaft to a second shaft includes an optical unit having a receiving element to receive electromagnetic radiation. A modifying unit modifies a radiant energy impinging on the receiving element as the first shaft runs asynchronously with respect to the second shaft. The modifying unit includes a holographic optical component designed for arrangement on and/or within the first shaft, and a diaphragm designed for arrangement on and/or within the second shaft and including radially arranged slots and radially arranged filled regions in an at least substantially regular sequence. The diaphragm includes an at least substantially centrally arranged opening. The holographic optical component is designed for illumination or irradiation with the electromagnetic radiation and generates a pattern having radially arranged areas with a first radiant energy and radially arranged areas with a second radiant energy in an at least substantially regular sequence.

Abstract: In a method for machining a workpiece with a machining system, the machining system is controlled with at least one control parameter, which is then adapted during machining of the workpiece based on an instantaneous mass of the workpiece or based on an instantaneous moment of inertia of the workpiece. The instantaneous mass of the workpiece or the instantaneous moment of inertia of the workpiece are dependent on a machining progress and are ascertained with reference to a geometric model of the workpiece to be machined based on a density of the workpiece and an instantaneous shape of the workpiece as determined with reference to the geometric model of the workpiece. The geometric model is updated with reference to a machining simulation.

Abstract: Various embodiments of the teachings herein include a material layer. The material layer may include: a first ply including a first material adjoined along its planar extent by a second material, and integrally bonded along a first connecting section, the first having a lower relative permeability ?? than the second; a second ply integrally bonded to the first and at least partially covering the latter on a planar side, the second ply including a third and a fourth material connected along a planar extent along a second connecting section, the region of the third material or the fourth at least partially overlapping the first connecting section; and a third ply including a fifth and a sixth material, arranged on the first ply on a planar side opposite the second ply. The fourth material and the sixth material comprise a matching substance material different in relative permeability from the second material.

Abstract: For providing recommendations for bill of materials revision, a database is storing bills of materials for a set of products. A pattern learning module processes the stored bills of materials to learn patterns. Embodiments for learning structural and temporal patterns are provided. A pattern application module applies the patterns to a current bill of materials for a product of interest and forecasts recommendations, with each recommendation indicating how the current bill of materials should be updated. A user interface outputs the recommendations along with the applied patterns and their confidence values. The method and system provide an automized framework that forecasts revision for products. That framework helps to boost product quality by avoiding late recognition of change needs that would most likely negatively impact product and cost performance. Automatically assessing the change needs reduces hours spent by domain experts on these tasks, which saves internal costs.

Abstract: A power module includes a power unit. The power unit includes a power semiconductor and a substrate. In order to improve the reliability of the power module, the substrate of the power unit is directly connected in an integrally bonded manner to a surface of a heat sink. The power unit is surrounded at least partially by a housing. The housing includes a housing frame which is connected liquid-tight to the surface of the heat sink and formed from a first dielectric material, and a housing cover which is connected to the housing frame to close the housing and is formed from a second dielectric material.