Abstract: A conversion device converts an input power into an output power, and gives rise to a power loss. The conversion device is cooled by a coolant circuit in which a coolant flows. A monitoring device determines, using operating data of the conversion device and/or of the coolant circuit, a flow velocity of the coolant and compares the flow velocity with a limit velocity. If the flow velocity reaches or exceeds the limit velocity, the monitoring device resorts to a special reaction. As long as the flow velocity does not reach the limit velocity, the monitoring device resorts either to no reaction or to a normal reaction that is not the same as the special reaction. The monitoring device determines the flow velocity by using a quantity of heat that is to be removed by the coolant per unit time, a local temperature of the conversion device, and an inflow temperature.

Abstract: Methods, devices, and assemblies for controlling pressure in a supply grid are provided. The supply grid is suitable for supplying fluid to loads. The supply grid has first sensors for measuring the flow and/or the pressure of the fluid at first locations in the supply grid and a pump for pumping the fluid or a valve for controlling the flow of the fluid. The method includes: measuring the flow and/or pressure of the fluid at the first locations in the supply grid by the first sensors; predicting the pressure at the second location in the supply grid using a self-learning system based on the measured flows or pressures, wherein the self-learning system is trained to predict the pressure at a specified location in the supply grid; and actuating the pump or the valve at least also based on the pressure predicted by the trained system at the second location.

Abstract: A differential protection device monitors a first object to be protected in an electrical energy supply network. The differential protection device has a measuring unit configured to acquire measurement values at one end of the first object to be protected, a communication unit configured to exchange measurement values with a differential protection device arranged at another end of the first object to be protected, the communication unit has a physical interface for transmitting and receiving the measurement values, and an evaluation unit configured to form a differential value and to generate a fault signal indicating a fault with regard to the first object to be protected if the differential value exceeds a predefined threshold value. Ideally, the differential protection device is configured to monitor further objects to be protected and to exchange respective further measurement values with regard to each further object to be protected.

Abstract: Various embodiments of the teachings herein include a fault processing method comprising: receiving two historical faults similar to a target fault; searching keywords in a description of the target fault and each historical fault, wherein the keywords are classified into N grades, and for each system component in a grade, the grade comprises at least one keyword for describing the component, wherein N is an integer no less than 2; for each of the N grades, counting a quantity of identical system components represented by the keywords in the text description of each historical fault and the target fault; and comparing a degree of similarity of each historical fault to the target fault according to the quantity of identical system components counted in each grade of the N different grades, wherein a historical fault relating to a larger number of high-grade identical system components has a higher degree of similarity to the target fault.

Abstract: A heat pipe heat sink operating as a pulsating heat pipe includes a body comprising internally a closed channel in which a fluid is arranged such that part of the fluid is present in gaseous form. The channel has a periphery which is designed to be smooth. The body includes a first body portion which is embodied as curved, alternatingly curved, serpentine or U-shaped. A coolant, in particular a gaseous coolant, flows through the first body portion along a surface of the first body portion, wherein portions of the channel are arranged parallel to one another and/or in the presence of more than one channel, different channels are arranged parallel to one another. The body is composed of two block parts, with parts of the channel being arranged on a boundary area of the two block parts, respectively.

Abstract: Various embodiments include a method for producing electronic assemblies. The method may include: applying a fluid printing medium in a structured manner using a printing device multiple times consecutively in a sequential series of individual printing steps; measuring a rheological property of the printing medium in an automated repeated series of individual measurement steps during or between the individual printing steps; executing a computer-implemented rheological model for the execution of the individual printing steps, using the repeatedly measured rheological property as a variable input parameter; determining a favorable value for a selected printing parameter with the rheological model based on the currently measured rheological property; and automatically setting the determined favorable value for the selected printing parameter.

Abstract: Events relevant for the service life are recorded for calculating the remaining service life of a switch. Events relevant for the service life are evaluated with respect to the frequency of their occurrence. The possibility of a future occurrence for the service life of relevant events is taken into account or not taken into account in accordance with the frequency of their occurrence for calculating the remaining service life.

Abstract: Provided is a computer-implemented method for generating a Component Fault and Deficiency Tree of a multi-component system the method including: a. modeling the multi-component system using a Component Fault and Deficiency Tree, b. the Component Fault and Deficiency Tree includes a plurality of component fault and deficiency tree elements associated with the respective components; c. each component fault and deficiency tree element includes at least one inport and at least one outport; d. each component fault and deficiency tree element includes at least two events as internal fault tree logic; e. at least one gate, f. each component fault and deficiency tree element includes at least one mitigation logic; g. at least one Boolean AND-Gate, configured to connect the internal fault tree logic and the at least one mitigation logic; and h. providing the generated Component Fault and Deficiency Tree of the multi-component system as output.

Abstract: Various embodiments include modeling a component fault tree for a circuit with an input-side and an output-side component. These include using a fault tree corresponding to a hazard for each respective component, obtaining information about the components of the circuit and a connection between components, and connecting the respective fault trees based on the circuit description. Each fault tree includes an input fault mode or a basic event and an output fault mode. The output fault mode and the input fault mode are each assigned to a component terminal. An output fault mode of the input-side component tree is connected to an input fault mode of the output-side component tree if: there is a connection between the assigned terminal of the input-side component and the output-side component and the output fault mode of the input-side component correlates to an input fault mode of the output-side component.

Abstract: Various embodiments include a computer-implemented method for task-oriented system definition, implementation and operation, the method comprising: importing representative model data including predefined model parameters by an interface component; importing one or more requirements for the model parameters by the interface component; executing measurement and importing measurement results data; aggregating and evaluating imported data, wherein the evaluation is performed depending on the requirements and measurement results data; storing imported data to a computer-readable storage component; operationalizing by adding measurements to the model requirements; and generating a task based on an algorithm performing a functional analysis of the model requirements.

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.