Siemens Aktiengesellschaft

Sivantos Pte. Ltd.

Siemens Medical Instruments Pte. Ltd.

Eberhard-Karls-Universität Tübingen Universitätsklinikum

Florian Steinke

Joachim Bamberger

Michael Metzger

Harald Held

Roland Barthel

Clemens Otte

Ulrich Münz

Michael Bernhard Buhl

Jeremy Ralph Wiles

Uwe Rass

Volker Tresp

Bernd J Pichler

Bernhard Schölkopf

Joshua Lamar Moore

Matthias Hofmann

Ulrich MÜNZ

Simon Ackermann

A method and device which operates to record and evaluate an output of electrical energy of a hybrid power plant, wherein, in accordance with time and/or load, at least one expected generable and usable energy contribution resulting from the utilization of renewable energy sources and one expected energy contribution resulting from the utilization of convention energy carriers are recorded with different tariffs.

Method and device for recording and evaluating an output of electrical energy of a hybrid power plant

A multi-generator power plant arrangement, energy supply network having a multi-generator power plant arrangement and method for distributing reactive power generation in a multi-generator power plant arrangement, is provided. A multi-generator power plant arrangement, and also a method for distributing reactive power generation in a multi-generator power plant arrangement, is provided. The control parameters for the controllers of the individual generators of a multi-generator power plant arrangement are thereby calculated individually on the basis of predetermined parameters and transmitted to the controllers of the individual generators. Consequently, the reactive power component to be generated in each case can be individually specified for each generator of a multi-generator power plant arrangement.

Multi-generator power plant arrangement, energy supply network having a multi-generator power plant arrangement and method for distributing reactive power generation in a multi-generator power plant arrangement

A power balance-dependent operating parameter and a surroundings parameter of a first energy source, such as a renewable energy source, are provided. A variable target operating parameter for the first energy source is ascertained dependent on the detected surroundings parameter. The target operating parameter can characterize a first energy source state in which a maximally possible output would be generated under the current given conditions of the surroundings. The operating frequency is then controlled dependent on the detected power balance dependent operating parameter and the ascertained target operating parameter such that a deviation of the operating frequency from a specified frequency is coupled to a deviation of the detected power balance-dependent operating parameter from the ascertained target operating parameter.

Method and control device for controlling an operating frequency of an energy source in an AC voltage network

The rotational speed of the drum of an ore mill may be controlled variably over time. By rotating the drum during a first time interval at high speed, especially hard or dense particles are broken up by tumbling. At the same time, the discharge characteristics of the mill are adversely affected. In a subsequent second time interval, the drum is rotated at a slower speed, and the material is discharged more effectively, whereas the tumbling movement inside the mill is not achieved. The combination of said different modes of operation within short time periods in continuous operation may improve both the comminution as a result of a tumbling motion of the material and also the discharge of the ground material. By regulating the rotational speed with different target values within short time windows, different requirements for the movement behavior of the material to be ground and for the discharge characteristics of the ground material can be simultaneously optimized. This may allow a higher throughput for the mill.

Method for operating a mill

A method is disclosed for operating a mill at continuous input and output mass flows, and to the mill, wherein a process model based on power balance equations and mass balance equations is used. Characteristic process variables can be measured in a simple manner outside the mill. Characteristic process variables which are still not known can be ascertained by means of inserting the measured values into a respective power balance equation, assuming that the other process variables are in each case known or are insignificant. On this basis, the mill can be actuated in an optimum manner in order to provide a high output power.

Use of temperature measurements for indirect measurement of process variables in milling systems

An assembly is provided for receiving characteristic data of a mill including a rotating mill sleeve having rotor coils and a stator having stator coils, wherein oscillations of the mill sleeve are transmitted to stator coils and/or measurement coils on the stator. The assembly may include stator coil(s) configured to tap power supply induction voltages to detect oscillations of the mill sleeve, wherein the stator coil(s) and/or measurement coil(s) designed to tap induction voltages are positioned in a sector of the mill sleeve in which large oscillations are expected based on the scale of the mill sleeve. Further, a method includes determining the induction voltage induced on stator coil(s) and/or measurement coil(s) by tapping at least one stator coil power supply and/or by tapping at least one measurement coil, and deriving status variable(s) of a milling method that reflect the fill level status in the sector of the respective coil.

Assembly, operating method and circuit for a mill driven by a ring motor

A classification and, in particular, a time stability thereof are intended to be improved. To this end, a method automatically sets a piece of equipment, in which a classifying is performed with an aid of movable clusters and fixed clusters. This allows the classification to be trained, but also allows a certain basic property of the system to be ensured. This is advantageous in particular for hearing aids and transformers in smart grids.

Method for automatically setting a piece of equipment and classifier

A method operates a hearing apparatus in which an operating parameter of the hearing apparatus is determined and smoothed by a filter. The smoothing includes, for each input value, to classify the input value in accordance with its association with a plurality of predetermined classes and increase a counter assigned to the respective class which is associated with the input value. The counter with the greatest counter value is determined and the operating parameter value assigned to the counter with the greatest counter value is output as an output variable of the filter.

Method for operating a hearing apparatus

A method, system, and computer software for information retrieval in semantic networks, has the steps of: acquiring a graph of interest, assuming a novel metric regarding the acquired graph, specifying a query node of interest on the obtained graph, calculating a shortest-path distance from the query node of interest to a plurality of other nodes on the acquired graph, obtaining a ranked list of nodes based on the calculated shortest-path distance, and displaying for a user the retrieved information.

Method, system, and computer program for information retrieval in semantic networks

It is disclosed a system and method () for determining a property map () of an object, particularly a human being, based on at least a first image (), particularly an magnetic resonance (MR) image, of the object. In the method (), a structure of reference pairs is defined in a first step (), wherein each reference pair (-) comprises at least two entries (). The first entry represents a property value, particularly an attenuation value. The second entry () preferably represents a group of image points () belonging together, which is extracted particularly from MR images () and comprises an interesting image point corresponding to the property value. In another step () of the method () a plurality of training pairs (-) is provided. A structure of the training pairs (-) corresponds to the structure of reference pairs, and the entries of respective training pairs (-) are known. In another step () of the method (), an assignment between the first entries and the other entries (-) of the training pairs (-) is determined by machine learning, thus allowing prediction of a property value () corresponding to an arbitrary point () of the first image ().

Method for determining a property map of an object, particularly of a living being, based on at least a first image, particularly a magnetic resonance image

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Munich, Germany

Florian Steinke