Abstract: A temperature measurement facility for determining a medium temperature of a medium from first and second temperatures at a location immediately around a surface surrounding the medium includes a first and second sensors for determining the first and second temperatures, and a measured value processor connected to the first and second sensors by a first and second feed lines and which provides, cyclically over time, at a measurement interval the first and second temperatures as the measured value for determining the medium temperature, wherein an evaluator is configured to determine a rate of change, from a difference between the first and second temperatures, and depending on its value configured to provide a quality feature, and is further configured to transmit the quality feature, as an evaluation of a measurement accuracy of the medium temperature, together with the measured value of the medium temperature, to a higher-level system.

Abstract: 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.

Abstract: A method and system for analyzing the cause of faults in a process engineering installation, wherein engineering information of the engineering installation, where the information contains information about the engineering installation components as well as their interconnection in the engineering installation, is provided in digital form in order to use the engineering information to create an inference model in the form of a probabilistic physical model of the engineering installation with probability distributions and prior variables, where measurement data from the engineering installation are used to perform Bayesian inference of fault probabilities during a diagnosis mode of the inference model.

Abstract: 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-axle 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.

Abstract: 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.

Abstract: A diagnosis method, a diagnosis system, a process-engineering plant and a training method for the diagnosis system, wherein course over time of plant data, which at least partially characterizes the plant status, is provided and a plant status is classified with the aid of a plurality of models based on the course over time of the plant data, where each model of the plurality of models differs with respect to a time window from which the plant data are based, a confidence is allocated to each classification that result from the at least two models, and where diagnosis information based on the classifications of the plant status and the confidences allocated thereto is output.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Improved identification of a process anomaly in a technical facility includes training a self-organizing map using the historical process data as good states of the facility. The good states are used to determine a temporal sequence or a path of node hits and the tolerances of neuron hits. Threshold values are determined and stored for a Euclidean distance for the good states. The Euclidean distance of a current state vector to the neuron hit is checked as to whether the threshold value has been exceeded. The path determined is used to determine the neuron to be hit as long as the threshold value was not already exceeded in the check on the relevant neuron. A symptom vector from the current state vector and either the neuron hit or the neuron that is to be hit is determined.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and Coriolis mass flowmeter, wherein the Coriolis mass flowmeter includes at least one measurement tube through which a medium flows, at least one exciter system arranged in the central region of the at least one measurement tube which causes the measurement tube to oscillate, and at least two oscillation pick-ups arranged in front of and behind the at least one exciter system. The at least two measurement tubes are additionally each provided with at least one acceleration sensor arranged in front and/or behind the exciter system. An evaluation device is configured to receive acceleration signals from the acceleration sensors and evaluate the acceleration signals to diagnose an asymmetry in the measurement tubes such that fault states, such as deposits in one of the two measurement tubes, blockage of a tube in a flow divider or asymmetrical changes in the ability of the measurement tubes to oscillate, such as due to cracks or fractures, can advantageously be detected.

Abstract: 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.