Siemens Aktiengesellschaft

Siemens Aktiengesell Schaft

Sebastian Mittelstädt

Axel Platz

Markus Michael Geipel

Sonja Sander

Daniela Oelke

Stefan Hagen Weber

Jonas Mlynek

Alexander Jäger

Thomas A Runkler

Stephan Merk

Nikou Günnemann-Gholizadeh

Michael Schnurbusch

Klaus-Peter Hitzel

Klaus Arthur Schmid

Thomas Runkler

Alexander JÄGER

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.

Cluster based classification for time series data

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.

Apparatus for monitoring an actuator system, method for providing an apparatus for monitoring an actuator system and method for monitoring an actuator system

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.

Method and system for computer-assisted monitoring of a technical system

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.

Method and device for the computer-assisted operation of an electric motor

Display screen or portion thereof with a graphical user interface

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.

Techniques for displaying data comprising time and angular values acquired from a technical or industrial process

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München-Haidhausen, Germany

Sebastian Mittelstädt