Abstract: A microelectronic device includes a substrate a platinum-containing layer over the substrate. The platinum-containing layer includes a first segment and a second segment adjacent to the first segment, and has a first surface and a second surface opposite the first surface closer to the substrate than the first surface. A first spacing between the first segment and the second segment at the first surface is greater than a second spacing between the first segment and the second segment at the second surface. A width of the first segment along the first surface is less than twice a thickness of the first segment, and the second spacing is less than twice the thickness of the first segment.

Abstract: Device and method for analyzing time series data monitored on a machine, wherein the device segments the time series data into multiple time segments, determines a cluster of time segments estimated to have the same dynamics of the time series data, then classifies the cluster based on label information associated with at least one of the time segments, presents at least a part of the time series data of the cluster to a user if none of the time segments of the cluster has associated label information, classifies the cluster and generates label information associated with the time segments of the cluster based on a user input received in response to presentation of the time series data, where the generated label information indicates a result of classifying the cluster.

Abstract: An apparatus for monitoring an actuator system, a method for providing an apparatus for monitoring an actuator system, and a method for monitoring an actuator system where the has at least one actuator and at least one data output signal. An anomaly detector detects anomalies. A suppressing engine determines time periods in which a control intervention has been performed. In a resulting monitoring signal, only anomalies are indicated which do not overlap with time periods in which the control intervention has been performed resulting in less irrelevant alerts and false positives output to a human supervisor monitoring the actuator system. The apparatus for monitoring a system may be provided with a plurality of actuators that may affect one another over time. The apparatus may be applied to a system of submersible pumps, or a system of conveyor belts.

Abstract: A method for detecting an abnormal behavior of a device, includes capturing data of at least two different sensors associated to the device within a temporal sequence of time intervals, estimating a relationship between two different sensors for each combination of two different sensors and for each of the time intervals by determining a precision matrix of a multivariate probabilistic model, each matrix element representing the relationship between two sensors, determining a temporal course of the precision matrix by applying the precision matrix of neighboring time intervals with at least one penalty, and identifying an abnormal behavior of the device, if the precision matrix of adjacent time intervals differs by a value larger than an expected threshold value.

Abstract: A device obtains a set of time series data monitored on a machine and further obtains first label information indicating a first time window in the time series data. The device determines a first probabilistic model, describing dynamics of the time series data inside the first time window, and a second probabilistic model describing dynamics of the time series data adjacent to the first time window. Based on the first and second probabilistic models, the device determines a first part of the time series data that is estimated to match the first probabilistic model and a second part of the time series data that is estimated to match the second probabilistic model, e.g., using a hidden Markov model. The device then determines second label information indicating a second time window which includes the first part of the time series data and excludes the second part of the time series data.

Abstract: Device and method for analyzing time series data monitored on a machine, wherein the device segments the time series data into multiple time segments, determines a cluster of time segments estimated to have the same dynamics of the time series data, then classifies the cluster based on label information associated with at least one of the time segments, presents at least a part of the time series data of the cluster to a user if none of the time segments of the cluster has associated label information, classifies the cluster and generates label information associated with the time segments of the cluster based on a user input received in response to presentation of the time series data, where the generated label information indicates a result of classifying the cluster.

Abstract: An apparatus for monitoring an actuator system, a method for providing an apparatus for monitoring an actuator system, and a method for monitoring an actuator system where the has at least one actuator and at least one data output signal. An anomaly detector detects anomalies. A suppressing engine determines time periods in which a control intervention has been performed. In a resulting monitoring signal, only anomalies are indicated which do not overlap with time periods in which the control intervention has been performed resulting in less irrelevant alerts and false positives output to a human supervisor monitoring the actuator system. The apparatus for monitoring a system may be provided with a plurality of actuators that may affect one another over time. The apparatus may be applied to a system of submersible pumps, or a system of conveyor belts.

Abstract: A method for computer-assisted monitoring of a technical system is provided. A set of data from at least one data source is received, the set of data consisting of a plurality of data values acquired within a given time period. The given time period in a plurality of time slots is divided, each of the time slots comprising a subset of data values. For each time slot, statistical values from the subset of data values are calculated, at least one first statistical value comprising an extreme value at least one second statistical value describing a distribution of the subset of data values. For each time slot, each of the at least one first statistical value and the at least one second statistical value is mapped to a respective first and a respective second color value of a color scale.

Abstract: Provided is a method for the computer-assisted operation of an electric motor which is exposed to a thermal load as a result of the rotational motion of its rotor during operation. In this method, measured data is received during the operation of the electric motor. One or more temperature values are derived from the measured data. A number of temperature characteristics curves are then forecast with differing restart times for defining a cooling period for reducing the thermal load on the electric motor, wherein the approximated temperature value, which results from the approximated temperature value is used as the specific starting value for a restart in the temperature characteristics curve to be forecast.

Abstract: A method for computer-assisted monitoring of a technical system is A set of data from at least one data source is received, the set of data consisting of a plurality of data values acquired within a given time period. The given time period in a plurality of time slots is divided, each of the time slots comprising a subset of data values. For each time slot, statistical values from the subset of data values are calculated, at least one first statistical value comprising an extreme value at least one second statistical value describing a distribution of the subset of data values. For each time slot, each of the at least one first statistical value and the at least one second statistical value is mapped to a respective first and a respective second color value of a color scale.

Abstract: Provided is a method for the computer-assisted operation of an electric motor which is exposed to a thermal load as a result of the rotational motion of its rotor during operation. In this method, measured data is received during the operation of the electric motor. One or more temperature values are derived from the measured data. A number of temperature characteristics curves are then forecast with differing restart times for defining a cooling period for reducing the thermal load on the electric motor, wherein the approximated temperature value, which results from the approximated temperature value is used as the specific starting value for a restart in the temperature characteristics curve to be forecast.

Abstract: According to an example, in a method for displaying visual analytics of entity data, geographic locations of entities may be plotted as first pixel cells on a first region and as second pixel cells on a second region of a geographic map. A determination may be made that the first pixel cells have a higher degree of overlap with each other in the first region compared to the second pixel cells in the second region. The geographic map may be distorted to enlarge the first region and the first pixel cells may be arranged in the first region in a manner that prevents the first pixel cells from overlapping each other. A color value for each of the pixel cells may be determined from a multi-paired color map that represents two variables corresponding to the entities by color and the pixel cells may be caused to be displayed on the distorted geographic map according to the determined respective color values.

Abstract: A method executed by a computer is provided, including the steps of capturing a plurality of datasets, each dataset at least including a time value and an angular value, and placing pixels representing the datasets in a polar coordinate system at a radial distance from a center according to the time value and at an angle from a reference direction according to the angular value.

Abstract: A method executed by a computer is provided, including the steps of capturing a plurality of datasets, each dataset at least including a time value and an angular value, and placing pixels representing the datasets in a polar coordinate system at a radial distance from a center according to the time value and at an angle from a reference direction according to the angular value.

Abstract: Using a contingency calculation based on a number of events sharing a collection of values of plural attributes, a discriminative metric is computed representing a statistical significance of the events that share the collection of values of the plural attributes. A visualization is generated that includes cells representing respective events, the visualization including a region containing a subset of the cells corresponding to the collection of values of the plural attributes, and the visualization including a significance visual indicator associated with the region to indicate the statistical significance of the events sharing the collection of values of the plural attributes.

Abstract: According to an example, in a method for displaying visual analytics of entity data, geographic locations of entities may be plotted as first pixel cells on a first region and as second pixel cells on a second region of a geographic map. A determination may be made that the first pixel cells have a higher degree of overlap with each other in the first region compared to the second pixel cells in the second region. The geographic map may be distorted to enlarge the first region and the first pixel cells may be arranged in the first region in a manner that prevents the first pixel cells from overlapping each other. A color value for each of the pixel cells may be determined from a multi-paired color map that represents two variables corresponding to the entities by color and the pixel cells may be caused to be displayed on the distorted geographic map according to the determined respective color values.

Abstract: For plural categorical values of a first attribute, more relevant categorical values of a second attribute are selected from among candidate categorical values of the second attribute, where the selecting uses a relevance determination process that considers frequencies of occurrence of respective pairs of the categorical values of the first and second attributes. A visualization that includes groups of cells corresponding to the respective pairs of categorical values of the first and second attributes is generated. At least one of the groups includes cells assigned visual indicators based on values of a third attribute.

Abstract: According to an example, in a method for displaying visual analytics of entity data, geographic locations of entities may be plotted as first pixel cells on a first region and as second pixel cells on a second region of a geographic map. A determination may be made that the first pixel cells have a higher degree of overlap with each other in the first region compared to the second pixel cells in the second region. The geographic map may be distorted to enlarge the first region and the first pixel cells may be arranged in the first region in a manner that prevents the first pixel cells from overlapping each other. A color value for each of the pixel cells may be determined from a multi-paired color map that represents two variables corresponding to the entities by color and the pixel cells may be caused to be displayed on the distorted geographic map according to the determined respective color values.