Abstract: A method for providing training datasets for training an object classification model for object classification in an ultrasonic sensor system is disclosed.

Abstract: The present application discloses playback devices and networks, software for operating playback devices and playback device networks, and methods of operating playback devices and networks, where an individual network device is configured to switch between operating various operating modes comprising a non-paired mode and a paired mode, where the playback device is configured to output various channels of audio content within various audio frequency ranges while operating in the various operating modes.

Abstract: The invention relates to an air jet spinning machine and a drafting system unit for a spinning unit of an air jet spinning machine for producing a thread or roving from a supplied fiber strip, with at least one front roller pair consisting of a front top roller on a load carrier and a driven front bottom roller on a bottom roller carrier and forming a clamping line, and a bearing element arranged on the bottom roller carrier for movably bearing an air jet spinning nozzle.

Abstract: A control system for active stability management of a compressor element of a turbine engine is provided. In one example aspect, the control system includes one or more computing devices configured to receive data indicative of an operating characteristic associated with the compressor element. For instance, the data can be received from a high frequency sensor operable to sense pressure at the compressor element. The computing devices are also configured to determine, by a machine-learned model, a stall margin remaining of the compressor element based at least in part on the received data. The machine-learned model is trained to recognize certain characteristics of the received data and associate the characteristics with a stall margin remaining of the compressor element. The computing devices are also configured to cause adjustment of one or more engine systems based at least in part on the determined stall margin remaining.

Abstract: A method for operating a centrifugal separator associated with a prime mover and/or a working machine. The centrifugal separator comprises at least one rotatably mounted rotor that can be rotated at a variable speed via a drive controlled by a control unit. The method is characterized in that the speed of the rotor is controlled according to the sound emissions of the prime mover and/or according to the sound emissions of the working machine.

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising a Hypothesis Generation Engine (HGE) to receive one or more property target values for a material; a memory for storing program instructions; an HGE processor, coupled to the memory, and in communication with the HGE, and operative to execute program instructions to: receive the one or more property target values for the material; analyze the one or more property target values as compared to one or more known values in a knowledge base; generate, based on the analysis, an initial set of hypothetical structures, wherein each hypothetical structure includes at least one property target value; execute a likelihood model for each candidate material to generate a likelihood probability for each hypothetical structure, wherein the likelihood probability is a measure of the likelihood that the hypothetical structure will have the target property value; convert each hypothetical structure into a natural

Abstract: A control system for active stability management of a compressor element of a turbine engine is provided. In one example aspect, the control system includes one or more computing devices configured to receive data indicative of an operating characteristic associated with the compressor element. For instance, the data can be received from a high frequency sensor operable to sense pressure at the compressor element. The computing devices are also configured to determine, by a machine-learned model, a stall margin remaining of the compressor element based at least in part on the received data. The machine-learned model is trained to recognize certain characteristics of the received data and associate the characteristics with a stall margin remaining of the compressor element. The computing devices are also configured to cause adjustment of one or more engine systems based at least in part on the determined stall margin remaining.

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising a Hypothesis Generation Engine (HGE) to receive one or more property target values for a material; a memory for storing program instructions; an HGE processor, coupled to the memory, and in communication with the HGE, and operative to execute program instructions to: receive the one or more property target values for the material; analyze the one or more property target values as compared to one or more known values in a knowledge base; generate, based on the analysis, an initial set of hypothetical structures, wherein each hypothetical structure includes at least one property target value; execute a likelihood model for each candidate material to generate a likelihood probability for each hypothetical structure, wherein the likelihood probability is a measure of the likelihood that the hypothetical structure will have the target property value; convert each hypothetical structure into a natural

Abstract: A method for operating a centrifugal separator associated with a prime mover and/or a working machine. The centrifugal separator comprises at least one rotatably mounted rotor that can be rotated at a variable speed via a drive controlled by a control unit. The method is characterized in that the speed of the rotor is controlled according to the sound emissions of the prime mover and/or according to the sound emissions of the working machine.

Abstract: A controller includes a processor and memory. The memory stores instructions that, when executed, are configured to cause the processor to receive measurements pertaining to a measured operation parameter of at least a portion of a turbine system. The instructions are also configured to cause the processor to generate a customized model for the at least the portion of the turbine system. Moreover, the instructions are configured to cause the processor to estimate an estimated value using the received measurements. The estimated value pertains to a parameter of the turbine system. Furthermore, the instructions are configured to cause the processor to using the customized model, reduce or remove at least some environmental conditions from a corrected estimated value derived from the estimated value.

Abstract: The invention relates to a method and a device for igniting a gas-fuel mixture, in particular in internal combustion engines, wherein at least one gas discharge gap bounded by two electrodes is ignited by means of a high voltage, which is produced by an ignition circuit and applied to the gas discharge gap. After the breakdown of the gas discharge gap, the current through the gas discharge gap is controlled by a control circuit in such a way that the gas discharge lies in the abnormal glow range, in which the voltage across the gas discharge gap rises for currents greater than 0.1 A having a positive slope. The current through the gas discharge gap is controlled in such a way that said current lies between 0.1 A and 10 A, preferably is greater than 0.1 A and less than or equal to 3 A, more preferably lies between 0.5 A and 1 A, wherein the voltage lies between 250 V and 3000 V, preferably between 500 V and 2000 V.

Abstract: A method, system, and non-transitory computer-readable medium, the method including determining automatically, by a processor, whether behavior for a model representing a plurality of entities and relationships therebetween deviates from a reference behavior for the model; determining, in response to the determination that the model does deviate from the reference behavior, at least one basis for the deviation; automatically forecasting an estimate of a remaining useful life for the model; and modifying the model to compensate for the deviation by at least one of modifying the model to accommodate the deviation and updating the model based on at least one new requirement.

Abstract: A method for imputing multivariate-time series data in a predictive model includes performing historical training of the predictive model by accessing data element information obtained from a real world physical asset, the data element information representing operational characteristics or measurements of the real world physical asset, examining configuration details of the real world physical asset, evaluating an expressiveness of the predictive model by comparing the predicative model to the configuration details, developing the model to express the configuration details, training the developed model by running scenarios based on the data element information, comparing error metrics between a model prediction and a corresponding one of the data element information, deploying the model if the error metrics are within predetermined parameters, and retraining the model if the error metrics are outside the predetermined parameters.

Abstract: An automated prognostics system includes a sensor system configured to obtain measurement data by monitoring one or more parameters at one or more locations on each of one or more movable components of an object when the object is subjected to a first mode of operation. The system also includes a computing device having an input interface and a processor. The input interface receives input information such as spatial coordinates information associated with the one or more locations, the measurement data obtained by the sensor system, operational data associated with the first mode of operation, and structural data associated with the object. The processor processes the input information and generates a prognostics report on at least a first component of the one or more movable components, the prognostics report including at least one of a failure prognostic or a likelihood-of-failure prognostic of the first component.

Abstract: A controller includes a processor and memory. The memory stores instructions that, when executed, are configured to cause the processor to receive measurements pertaining to a measured operation parameter of at least a portion of a turbine system. The instructions are also configured to cause the processor to generate a customized model for the at least the portion of the turbine system. Moreover, the instructions are configured to cause the processor to estimate an estimated value using the received measurements. The estimated value pertains to a parameter of the turbine system. Furthermore, the instructions are configured to cause the processor to using the customized model, reduce or remove at least some environmental conditions from a corrected estimated value derived from the estimated value.

Abstract: A device and a method for operating an electromechanical adjustment device having an electric drive device, include a control unit that detects the reaching of a mechanical end stop of the adjustment device and controls and/or regulates the electric drive device. After a mechanical end stop of the adjustment device is reached, a change in the direction of rotation is automatically actuated in the electric drive device for a predefinable period of time or a predefinable traveling distance.

Abstract: The invention relates to a method and a device for igniting a gas-fuel mixture, in particular in internal combustion engines, wherein at least one gas discharge gap bounded by two electrodes is ignited by means of a high voltage, which is produced by an ignition circuit and applied to the gas discharge gap. After the breakdown of the gas discharge gap, the current through the gas discharge gap is controlled by a control circuit in such a way that the gas discharge lies in the abnormal WOW range, in which the voltage across the gas discharge gap rises for currents greater than 0.1 A having a positive slope. The current through the gas discharge gap is controlled in such a way that said current lies between 0.1 A and 10 A, preferably is greater than 0.1 A and less than or equal to 3 A, more preferably lies between 0.5 A and 1 A, wherein the voltage lies between 250 V and 3000 V, preferably between 500 V and 2000 V.

Abstract: An automated analytics system can include a sensor system that obtains measurement data by monitoring one or more parameters at each of a number of locations on each of a number of replicated components of an object. A computing device receives the measurement data from the sensor system and uses the measurement data to automatically generate a computerized representation of each of the plurality of replicated components. Thereafter, upon receipt of an input query, the computing device generates a synthesized representation of the object that is specifically directed to a parameter of interest indicated in the query. The synthesized representation may be displayed in a visual format that is interpretable by a human to derive information associated with the parameter of interest.

Abstract: A sensor arrangement comprises an input surface, an optical sensor, a first capacitive sensor, an evaluation unit and a device. The input surface has at least one light-permeable part surface. The optical sensor is disposed below the at least one light-permeable part surface. The first capacitive sensor is disposed below the input surface. The evaluation unit is coupled to the optical sensor and configured to carry out a light-permeability measurement of an object located on the input surface using the optical sensor. The device is configured to evaluate a change in capacitance of the first capacitive sensor. The device is connected to the first capacitive sensor and further configured to generate a first output signal if there is a change in capacitance. The evaluation unit is further configured to generate a presence signal if a measured light permeability falls below a predetermined value.

Abstract: An automated prognostics system includes a sensor system configured to obtain measurement data by monitoring one or more parameters at one or more locations on each of one or more movable components of an object when the object is subjected to a first mode of operation. The system also includes a computing device having an input interface and a processor. The input interface receives input information such as spatial coordinates information associated with the one or more locations, the measurement data obtained by the sensor system, operational data associated with the first mode of operation, and structural data associated with the object. The processor processes the input information and generates a prognostics report on at least a first component of the one or more movable components, the prognostics report including at least one of a failure prognostic or a likelihood-of-failure prognostic of the first component.