Siemens Aktiengesellschaft

Flender Gmbh

Hans-Henning Klos

Jens Schnittger

Jürgen Schimmer

Dirk Scheibner

Jörg Hassel

Stefan Von Dosky

Jürgen Zettner

Jörn Peschke

Christoph Paulitsch

Wolfgang Riedl

Hans Tischmacher

Matthias Deicke

Benjamin Kohler

Ralf Gross

Vladimir Lavrik

Klaus-Dieter Müller

Ulrich Werner

Ulf Bormann

Sven Gattermann

Felix Baer

Julia Camminadi

Arno Haschke

Reinhold Keck

Stefan Scherer

Mike Zinecker

Andre Dölling

Niklas Buerger

Schirin Tolksdorf

Sofia Manciu

Klaus-Dieter MÜLLER

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.

Method and apparatus for monitoring industrial devices

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 for any redesign work.

Method for identifying a process-disrupting automation component in a concatenated automation assembly

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. An updated production efficiency model combining updated manufacturing models including the updated manufacturing operation models, to calculate the predictions of the key performance indicators, of the product variant, to be manufactured, depending on a product configuration of the respective product variant, is evaluated.

Method and apparatus for providing predictions of key performance indicators of a complex manufacturing system

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.

Cause determination of anomalous events

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.

Method for computer-aided processing of state messages in an automation installation

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.

Method for determining loading of a bearing, a computer program product, a control facility and a drive

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.

Measuring system and measuring method for detecting variables on planetary carriers of a planetary gear train

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.

Apparatus and method for monitoring the state of a roller bearing

An arrangement and method for determining and monitoring the state of a rolling bearing, wherein a first sensor signal is captured in the form of a sound emission signal in a first frequency band in the ultrasonic range during operation of the rolling bearing, a second sensor signal is captured in a second frequency band of lower frequency in the ultrasonic range, a first characteristic value for recently occurred damage is determined from the shape of the first sensor signal, a second characteristic value for recently occurred damage is determined from the shape of the second sensor signal, and the state of the rolling bearing is determined by comparing the first characteristic value to a reference value dependent on the speed of the rolling bearing and dependent on the second characteristic value to at least one second reference value dependent on the speed of the rolling bearing.

Method and arrangement for determining and monitoring the state of a rolling bearing

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Weigendorf, Germany

Hans-Henning Klos