Abstract: Provided is a signal and event processing, SEP, engine deployed on a target device of an industrial system, the SEP engine including subscriber nodes adapted to receive at least one of signal and event, SE, data streams from sources of the industrial system; processing nodes adapted to perform signal and event processing language, SEPL, functional operations on the received SE data streams according to an SEPL script of the SEP engine, wherein the SEPL script includes predefined stateful event or data pattern matching operations to generate result SE data streams; and publisher nodes adapted to forward the generated result SE data streams to sinks of the industrial system.

Abstract: Provided is a method for providing measured values of a technical installation in which measured values in at least one measurement series are captured, wherein a respective measured value is provided by a measurement sensor for a respective physical measurement variable in the technical installation for a respective measurement time. The measured values are categorized as normal measured values or anomalous measured values with the aid of a threshold value comparison and at least one further method stage. The further method stage comprises calculating one or more statistical position parameters for selected measured values from the same measurement series and/or different measurement series. The method makes it possible to increase the reliability of the measured values provided. A technical system comprising the technical installation, at least one measurement sensor and a program-controlled device, and a method for operating the technical system are also proposed.

Abstract: A method and apparatus for analyzing an investigated complex system the complex system including a plurality of system components, the method includes the steps of providing a base virtual object oriented data model including abstract components corresponding to system components of the investigated complex system, wherein each abstract component of the base virtual object oriented data model includes parameters and attributes of the respective system component of the investigated complex system; mapping sensor tags of sensors deployed in the investigated complex system (2) and/or event names of events received from the investigated complex system to the parameters of the abstract components of the provided base virtual object oriented data model to generate a dedicated data model for the system type of the investigated complex system; and performing a failure mode and/or a root-cause analysis of the investigated complex system on the basis of the dedicated data model.

Abstract: A method of detecting a bearing carbonization failure in a turbine system, the turbine system has a bearing, a turbine rotational speed sensor, and a bearing displacement acceleration sensor. The method includes obtaining individual measurement values from each of the turbine rotational speed sensor and the bearing displacement acceleration sensor, determining, as a first condition, whether the measurement values from the rotational speed sensor exceed or equal a first threshold value during a first period of time, calculating a characteristic value based on the measurement values from the bearing displacement acceleration sensor corresponding to a second period of time, the second period of time being part of the first period of time, determining, as a second condition, whether the calculated characteristic value exceeds a second threshold value, and determining that a bearing carbonization failure has occurred if both the first condition and the second condition are fulfilled.

Abstract: A method of detecting a temperature sensor failure in a turbine system, includes obtaining individual measurement values from each temperature sensor in a group of temperature sensors, calculating a characteristic value for each temperature sensor in the group based on the measurement values for the corresponding temperature sensor, selecting a first characteristic value among the calculated characteristic values, determining a first maximum value as the maximum of the characteristic values except for the first characteristic value, and determining that the temperature sensor corresponding to the first characteristic value is defective if the first characteristic value is larger than the first maximum value multiplied by a predetermined factor. A corresponding device, system, computer program and computer program product utilize the method.

Abstract: Provided is a signal and event processing, SEP, engine deployed on a target device of an industrial system, the SEP engine including subscriber nodes adapted to receive at least one of signal and event, SE, data streams from sources of the industrial system; processing nodes adapted to perform signal and event processing language, SEPL, functional operations on the received SE data streams according to an SEPL script of the SEP engine, wherein the SEPL script includes predefined stateful event or data pattern matching operations to generate result SE data streams; and publisher nodes adapted to forward the generated result SE data streams to sinks of the industrial system.

Abstract: Provided is a method for providing measured values of a technical installation in which measured values in at least one measurement series are captured, wherein a respective measured value is provided by a measurement sensor for a respective physical measurement variable in the technical installation for a respective measurement time. The measured values are categorized as normal measured values or anomalous measured values with the aid of a threshold value comparison and at least one further method stage. The further method stage comprises calculating one or more statistical position parameters for selected measured values from the same measurement series and/or different measurement series. The method makes it possible to increase the reliability of the measured values provided. A technical system comprising the technical installation, at least one measurement sensor and a program-controlled device, and a method for operating the technical system are also proposed.

Abstract: The computer device (10) comprises a receiving unit (1) for receiving numerical data (11) and logical data (12) from the technical system (100), a selection unit (2) for selecting a subset (13) of the numerical data (11), a processing unit (3) for processing the subset of the numerical data (11) and the logical data (12) by converting the subset of the numerical data (11) and the logical data (12) into text-based data and by detecting predefined events in the text-based data, a comparison unit (4) for comparing the detected events with predefined queries, wherein the predefined queries describe correlations between detected events, to provide a comparison result, and a signaling unit (5) for outputting a signal (13) based on the provided comparison result. By converting numerical data and logical data into text-based data, correlations within the data can be easily detected based on predefined queries, which are also in text-based form.

Abstract: A method of detecting a bearing carbonization failure in a turbine system, the turbine system has a bearing, a turbine rotational speed sensor, and a bearing displacement acceleration sensor. The method includes obtaining individual measurement values from each of the turbine rotational speed sensor and the bearing displacement acceleration sensor, determining, as a first condition, whether the measurement values from the rotational speed sensor exceed or equal a first threshold value during a first period of time, calculating a characteristic value based on the measurement values from the bearing displacement acceleration sensor corresponding to a second period of time, the second period of time being part of the first period of time, determining, as a second condition, whether the calculated characteristic value exceeds a second threshold value, and determining that a bearing carbonization failure has occurred if both the first condition and the second condition are fulfilled.

Abstract: A method of detecting a temperature sensor failure in a turbine system, includes obtaining individual measurement values from each temperature sensor in a group of temperature sensors, calculating a characteristic value for each temperature sensor in the group based on the measurement values for the corresponding temperature sensor, selecting a first characteristic value among the calculated characteristic values, determining a first maximum value as the maximum of the characteristic values except for the first characteristic value, and determining that the temperature sensor corresponding to the first characteristic value is defective if the first characteristic value is larger than the first maximum value multiplied by a predetermined factor. A corresponding device, system, computer program and computer program product utilize the method.

Abstract: A method and apparatus for analyzing an investigated complex system the complex system including a plurality of system components, the method includes the steps of providing a base virtual object oriented data model including abstract components corresponding to system components of the investigated complex system, wherein each abstract component of the base virtual object oriented data model includes parameters and attributes of the respective system component of the investigated complex system; mapping sensor tags of sensors deployed in the investigated complex system and/or event names of events received from the investigated complex system to the parameters of the abstract components of the provided base virtual object oriented data model to generate a dedicated data model for the system type of the investigated complex system; and performing a failure mode and/or a root-cause analysis of the investigated complex system on the basis of the dedicated data model

Abstract: The computer device (10) comprises a receiving unit (1) for receiving numerical data (11) and logical data (12) from the technical system (100), a selection unit (2) for selecting a subset (13) of the numerical data (11), a processing unit (3) for processing the subset of the numerical data (11) and the logical data (12) by converting the subset of the numerical data (11) and the logical data (12) into text-based data and by detecting predefined events in the text-based data, a comparison unit (4) for comparing the detected events with predefined queries, wherein the predefined queries describe correlations between detected events, to provide a comparison result, and a signaling unit (5) for outputting a signal (13) based on the provided comparison result. By converting numerical data and logical data into text-based data, correlations within the data can be easily detected based on predefined queries, which are also in text-based form.

Abstract: In a method for determination of the measurement workflow of a magnetic resonance tomography apparatus in the generation of slice images of a subject, a number of slice images to be generated is established. A total number of measurement regions is established for each of the slice images, with one measurement being necessary for the acquisition of the data of each of the measurement regions. An individual measurement sequence is determined for each slice image, comprising an excitation and a determined number of successive measurements of different measurement regions of the appertaining slice image, with a number of measurement sequences being necessary for acquisition of all measurement regions of the appertaining slice image. The individual measurement sequences are to be distributed to a determined number of measurement streams is determined. An order is established as to the distribution of the entirety of measurements of a respective slice image among the measurement streams.

Abstract: In a method for determination of the measurement workflow of a magnetic resonance tomography apparatus in the generation of slice images of a subject, a number of slice images to be generated is established. A total number of measurement regions is established for each of the slice images, with one measurement being necessary for the acquisition of the data of each of the measurement regions. An individual measurement sequence is determined for each slice image, comprising an excitation and a determined number of successive measurements of different measurement regions of the appertaining slice image, with a number of measurement sequences being necessary for acquisition of all measurement regions of the appertaining slice image. The individual measurement sequences are to be distributed to a determined number of measurement streams is determined. An order is established as to the distribution of the entirety of measurements of a respective slice image among the measurement streams.