Siemens Aktiengesellschaft

Thomas Bierweiler

Daniel Labisch

Stefan Von Dosky

Wolfgang Ens

Jean Pascal John

Ralf Huck

Bernd-Markus Pfeiffer

Karl-Heinz Kirchberg

Daniel Schall

Henning Lenz

Annika Simmel

Felix Hammacher

Markus Hilsendegen

Tim Scherer

Valentin Rigoni

Roman Khazankin

Jana Kemnitz

Helmut Henzler

Nils Zufall

Erion Syla

A temperature measuring system comprising temperature measuring device, a computer program product suitable for simulating an operating behavior of such a temperature measuring device, and a temperature measuring device for non-invasively measuring a temperature of a medium in a pipe includes a sensor holder and a heat coupling element configured for producing a heat conducting path from a wall of the pipe to a first temperature sensor, wherein the heat coupling element is configured for adjusting the heat conducting path in a layered structure with components composed of different materials where, alternatively or supplementarily, the heat coupling element has an arcuate profile at least sectionally for the purpose of axially reversing the heat conducting path.

Temperature measuring device for non-invasive temperature measurement, temperature measuring system and computer program product

Method and system for diagnosing messages generated during operation of a technical plant, wherein data sets and a predetermined self-organizing map are used to determine diagnostic statements on the operation of the plant, n-tuples corresponding to the data sets and containing predetermined values for process variables for error-free operation of the plant are stored at nodes of the self-organizing map, after a message has occurred minimum distances between data sets of the current time interval and data sets of the nodes of the self-organizing map are determined, and the corresponding node(s) is/are selected, symptoms are then determined by calculating differences between the data sets of the time intervals and the previously determined node(s), only differences of process variables exceeding a predefined threshold value being taken into account, and where process variables involved in previously determined symptoms are output such that a plant operator is supported in diagnosing a process message.

Method and system for diagnosing messages

Method for monitoring operation of a technical object, wherein a) a first orientation of the first acceleration sensor in the form of a position vector is determined, b) the mathematical model for operation of the object is generated and trained, c) the first acceleration sensor is disassembled and a three-axis replacement acceleration sensor is assembled with a new orientation on the object, d) acceleration values are detected, e) respective indicator values are calculated from the temporal course of the detected acceleration values of the replacement acceleration sensor, f) a replacement vector is determined from the indicator values and a differential vector between the replacement vector and the position vector of the first acceleration sensor determined in step b) is determined, and g) the model during operation of the object for the position vector in the orientation of the replacement vector is applied by taking into account the differential vector.

Method and apparatus for monitoring operation of a technical object

A diagnostic device for monitoring the operation of a technical plant with an automation system, wherein the diagnostic device includes a data memory in which at least one data set characterizing the operation of the plant with values of process variables can be stored, and an evaluation device, where the diagnostic device is characterized in that the evaluation device is configured to determine a diagnostic statement about the operation of the technical plant based on the data set and at least one self-organizing map and based on a program for controlling a sequence during the operation of the technical plant with repeatedly traversed step sequences via a Dynamic Time Warping method.

Diagnostic device and method for monitoring a technical plan

A diagnostic device and diagnostic method for monitoring operation of a technical system with an automation system, wherein values of process variables, which were previously automatically determined as relevant to a diagnosis by analyzing a program for a sequential function chart, are determined when each step of the cycle to be checked is executed and evaluated based on at least one predetermined self-organizing map acquired based on fault-free cycles during a system operation with repeatedly run step sequences such that automatic preselection of the process variables is which are relevant to the diagnosis is performed such that misdiagnoses can advantageously and largely be avoided and the reliability of the diagnostic statement can be increased.

Diagnostic device and method for monitoring operation of a technical system

A method for automatically determining a parameterization of an evaluation method via a computer includes generating a comparison data set and storing reference data in the generated comparison data set, stipulating a parameterization with which identification of particular partial data items of reference data items stored in the comparison data set is influenceable via the evaluation method, such that a relative number of partial data items identified during the evaluation in relation to all the reference data items stored in the generated comparison data set is quantitatively smaller than a predetermined threshold value, preferably smaller than 10%, preferably smaller than 5%, particularly preferably smaller than 1%, and providing the determined parameterization for performing the evaluation method to identify particular partial data items of the data set of the industrial plant.

Automated determination of a parameterization of an evaluation method

A diagnosis facility and diagnostic method for monitoring the performance of a technical plant with an automation system. In the performance of a plant with step sequences that run repeatedly, deviations of the time response in a cycle of the step sequence that is to be checked from the time response for fault-free cycles are detected and displayed by evaluation of the data set, using the self-organizing map. To this end, the durations of the execution of each step in the step sequence that is to be checked are determined and evaluated using a predetermined self-organizing map that has been learned using fault-free cycles. This type of evaluation has the advantage that the self-organizing map can be learned automatically and consequently hardly any knowledge of the respective process that is running on the plant is required for the diagnosis.

Diagnosis facility and diagnostic method for monitoring performance of a technical plant

For supporting fault diagnosis of an industrial installation having a plurality of installation components connected via a pipeline system, provision is made for assigning each installation component to one of a plurality of abstract component types, where a weighted directed component graph is in turn assigned to each component type. A piping and instrumentation flow diagram of the industrial installation is processed component by component proceeding from a start point along a pipeline system. Here, in the case of each installation component, the component graph of the installation component assigned according to the component type is accessed. The individual component graphs are joined together to form a system of weighted directed overall graphs of the industrial installation, the nodes of which are each assigned to a plurality of individual installation components.

Method and device for supporting fault diagnosis of an industrial installation

A method for operating a Coriolis mass flow rate meter and a Coriolis mass flow rate meter including an evaluation device, a measuring tube having a medium flowing therethrough and which is excited so as to perform oscillations, and at least two spaced oscillation pickups spaced apart in the longitudinal direction of the measuring tube to each generate an oscillation signal, wherein a first indicator variable based on the damping of the oscillations of the measuring tube is initially used to detect deposits in the measuring tube and if, based on the first indicator variable, increased damping is established, a second indicator variable is used, which is based on the manifestation of harmonics in the frequency spectrum of an oscillation signal such that reliable detection of deposits and therefore an indication of the state of meters and pipelines in a process engineering installation are advantageously possible.

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Karlsruhe, Germany

Thomas Bierweiler