Abstract: A method provides predictions of key performance indicators of a product variant of a product family manufactured by a complex manufacturing system in a manufacturing process. The method provides a manufacturing operation model for each manufacturing operation type used to manufacture a product variant of the product family. Via the complex manufacturing system measured contributions to key performance indicators, process context data and process execution data of manufacturing operations, are provided. The model parameters of the provided manufacturing operation models are learned automatically based on collected process context data, collected process execution data, and measured contributions to key performance indicators, to update the manufacturing operation models.

Abstract: A method for monitoring of industrial devices includes: receiving sensor signal data of one or more industrial devices and one or more events associated with the operation of the one or more industrial devices. The method further includes: identifying, (e.g., using a first autoencoder), an abnormal behavior of the one or more industrial devices based on the sensor signal data; creating or updating an additional autoencoder based on the sensor signal data associated with a time window relating to the abnormal behavior; and associating events located within the time window with the additional autoencoder.

Abstract: A method and an automation component for identifying a process-disrupting automation component in an industrial automation assembly, wherein a process disruption is determined in a first automation component and examined by a first local analysis device, where an automation component arranged upstream and/or an automation component arranged downstream is first determined by each automation component, an interrogation message is sent from a first automation component to a second automation component and the same interrogation message or a further interrogation message is recursively sent by the second automation component to a third automation component arranged upstream or downstream of the second automation component and processed, where in the event of a locally determined disruption, the relevant automation component sends a response message, which is back-propagated to the origin and signaled such that a decentralized error analysis becomes possible, even with a changing system topology, without the need

Abstract: The invention relates to a method for evaluating at least one data set of at least one component of an automation system, characterized by the incorporation and/or execution of the following steps: determining an interval between two anomalous events in a first data set, said first data set comprising data based on at least one first component of the automation system, and determining repeating events which are spaced according to the interval in a second data set, said second data set comprising at least one second component of the automation system.

Abstract: A method provides predictions of key performance indicators of a product variant of a product family manufactured by a complex manufacturing system in a manufacturing process. The method provides a manufacturing operation model for each manufacturing operation type used to manufacture a product variant of the product family. Via the complex manufacturing system measured contributions to key performance indicators, process context data and process execution data of manufacturing operations, are provided. The model parameters of the provided manufacturing operation models are learned automatically based on collected process context data, collected process execution data, and measured contributions to key performance indicators, to update the manufacturing operation models.

Abstract: A method for computer-aided processing of state messages in an automation installation, wherein state messages are generated by components and detected with their generation points in time, where causative states present at the generation point of the state message or beforehand in other components are determined for a multiplicity of state messages of a respective component and the current state in the generated state message, where the propagation time between occurrence of the respective causative state and the generation point of the state message is calculated for each causative state, where groups are formed from the causative states, where in a respective group all causative states have at least the common feature that they were determined for the same current state in the respective component, and where at least one statistical parameter is determined from the propagation times which belong to the causative states of the same group and stored.

Abstract: In a method for determining loading of a bearing supporting a rotor of an electrical machine, the rotational speed and angular acceleration of the rotor is determined, matrix elements of a matrix are assigned to respective ranges of the angular acceleration and to respective ranges of the rotational speed, when the electrical machine is operated in a respective range of the angular acceleration and the rotational speed corresponding to the respective matrix element for a predefined time unit, an elementary variable, for example a value of 1, is added to the respective matrix element, and the loading of the bearing is determined as a weighted sum of the matrix elements. Thus, the matrix forms a representation of the operating time of the bearing and of the service life over time in relation to the rotational speeds and angular accelerations. The loading can be shown on a display.

Abstract: The invention relates to a method for evaluating at least one data set of at least one component of an automation system, characterized by the incorporation and/or execution of the following steps: determining an interval between two anomalous events in a first data set, said first data set comprising data based on at least one first component of the automation system, and determining repeating events which are spaced according to the interval in a second data set, said second data set comprising at least one second component of the automation system.

Abstract: A method for computer-aided processing of state messages in an automation installation, wherein state messages are generated by components and detected with their generation points in time, where causative states present at the generation point of the state message or beforehand in other components are determined for a multiplicity of state messages of a respective component and the current state in the generated state message, where the propagation time between occurrence of the respective causative state and the generation point of the state message is calculated for each causative state, where groups are formed from the causative states, where in a respective group all causative states have at least the common feature that they were determined for the same current state in the respective component, and where at least one statistical parameter is determined from the propagation times which belong to the causative states of the same group and stored.

Abstract: In a method for determining loading of a bearing supporting a rotor of an electrical machine, the rotational speed and angular acceleration of the rotor is determined, matrix elements of a matrix are assigned to respective ranges of the angular acceleration and to respective ranges of the rotational speed, when the electrical machine is operated in a respective range of the angular acceleration and the rotational speed corresponding to the respective matrix element for a predefined time unit, an elementary variable, for example a value of 1, is added to the respective matrix element, and the loading of the bearing is determined as a weighted sum of the matrix elements. Thus, the matrix forms a representation of the operating time of the bearing and of the service life over time in relation to the rotational speeds and angular accelerations. The loading can be shown on a display.

Abstract: A measuring system for detecting variables on planet carriers of a planetary gear train having a plurality of planetary gear stages includes a first sensor which is arranged on one of the planet carriers of one of the planetary gear stages for detecting the variables of a planet gear rotationally connected to the at least one of the planet carriers. An electronics configured for arrangement on the planetary gear train is operably connected to the first sensor for supply of the first sensor with electrical energy.

Abstract: A measuring system for detecting variables on planet carriers of a planetary gear train having a plurality of planetary gear stages includes a first sensor which is arranged on one of the planet carriers of one of the planetary gear stages for detecting the variables of a planet gear rotationally connected to the at least one of the planet carriers. An electronics configured for arrangement on the planetary gear train is operably connected to the first sensor for supply of the first sensor with electrical energy.

Abstract: A method and arrangement for monitoring an industrial device, such as a machine or a system, wherein the device comprises a rotating component and a bearing, wherein acoustic emissions of the device in a first frequency band in the ultrasound range are recorded, acoustic emissions of the device in a second frequency band in the ultrasound range are recorded, the first frequency band and the second frequency band being non-overlapping, where at least one characteristic value for the condition of the bearing is determined from the acoustic emissions of the device in the first frequency band, and where at least one characteristic value for a process variable of a process executing in the device is determined from the acoustic emissions of the device in the second frequency band such that monitoring of an industrial device is further improved while maintaining or reducing the complexity of the measurement.

Abstract: A method and an apparatus are disclosed for monitoring the state of a roller bearing. The apparatus includes a vibration sensor, configured to detect vibrations which occur during operation of the bearing, and to generate a first signal as a function of the detected vibrations. A diagnosis electronics system is configured to output an item of information about a state of the bearing on the basis of the first signal and at least one limit value stored in the diagnosis electronics system. A sound emission sensor is provided, configured to pick up noises, produced in the event of plastic deformation of the bearing at least in regions. A second signal is then transmitted to the diagnosis electronics system, taking into account the picked-up noises.

Abstract: At least one strain gauge is arranged on an outer surface of a shaft to monitor damage to the shaft. Deformation of the shaft is detected using measurement signal(s) from the at least one strain gauge and sound emissions of the shaft by evaluating the measurement signal(s) in the ultrasonic range.

Abstract: A bearing, supporting a movable component in relation to a stationary component, and a detection device are included in a bearing arrangement. The bearing arrangement also includes at least two temperature sensors for respective detection of temperature. The detection device detects a load zone of the bearing, formed by an area of the bearing in which, during a movement of the movable component, a higher mechanical loading occurs in the bearing compared to an adjacent area. The detection device determines the load zone of the bearing by using the detected temperatures.

Abstract: A sensor element includes an acoustic emission sensor for detecting acoustic emission. The sensor element has a second sensor for a second measured variable which is different from acoustic emission. Furthermore, a sensor element is provided, which includes an acoustic emission sensor for detecting acoustic emission and includes an interface for receiving an external sensor signal.

Abstract: The operational state of a slide bearing is monitored by determining measurement values that characterize noise emissions in the slide bearing using a sensor element which is mechanically coupled to the slide bearing. A characteristic value is calculated from determined measurement values and the operational state of the slide bearing is classified according to the characteristic value.

Abstract: In a method for determining and/or monitoring the state of a roller bearing wherein during the operation of the roller bearing a sensor signal in the form of a sound emission signal is detected in a frequency band in the ultrasonic range, according to an embodiment of the invention shock pulses in the sensor signal are determined. As a result, electrical bearing currents in the roller bearing can be detected and damage to the bearing can therefore be avoided early.

Abstract: A method and an apparatus are disclosed for monitoring the state of a roller bearing. The apparatus includes a vibration sensor, configured to detect vibrations which occur during operation of the bearing, and to generate a first signal as a function of the detected vibrations. A diagnosis electronics system is configured to output an item of information about a state of the bearing on the basis of the first signal and at least one limit value stored in the diagnosis electronics system. A sound emission sensor is provided, configured to pick up noises, produced in the event of plastic deformation of the bearing at least in regions. A second signal is then transmitted to the diagnosis electronics system, taking into account the picked-up noises.