Abstract: An assistance apparatus and computer-implemented method for removing spurious signal components in a measured motor current signal of an electric motor for optimized motor diagnosis is provided, including the steps: receiving the measured motor voltage signal and a measured motor current signal measured at the motor; generating a modelled current signal by a motor model depending on the measured motor voltage signal; generating a reference current signal by the motor model depending on an undisturbed sinusoidal motor voltage signal; adapting a noise removal module to infer optimal denoising parameters by inputting the modelled current signal and the reference current signal into the noise removal module; determining a denoised motor current signal by inputting the measured motor current signal into the adapted noise removal module; and outputting the denoised motor current signal for optimized motor diagnosis.

Abstract: A system, apparatus and method for estimating remaining useful life of at least one bearing is provided. The method includes receiving request for analyzing defect in bearing from source, determining vibration spectrum of bearing from the received operational data, monitoring an impact of defect on one bearing over a period of time based on the determined vibration spectrum, determining characteristic values from the vibration spectrum for which the impact of the defect on the bearing is above a threshold range, determining impact force during an operation of the at least one bearing based on the determined characteristic values and one or more parameters obtained from a virtual bearing model, determining remaining useful life of the bearing based on the determined impact force during the time period and generating a notification indicating the remaining useful life of the bearing on output device.

Abstract: A computer-implemented method, a computer-implemented device, a system and a computer program product for determining optimized operating parameters for a coating process includes recording at least one process parameter associated with the coating process, determining a target parameter range associated with a coating that is produced by the coating process, the determination being based on an analytical model and/or a three-dimensional computational fluid dynamics (CFD) model, and determining an operating parameter for the coating process at least partially based on the recorded parameter and the target parameter range.

Abstract: A method of training a machine learning model for detecting one or more faults associated with at least one component of a drive train includes providing a simulation model associated with the at least one component. The method includes configuring the simulation model using a predefined configuration for generating training data for the machine learning model, generating the training data using the configured simulation model, and training the machine learning model using the generated training data for detecting the health of at least one component of the drive train. The simulation model is configured to simulate a plurality of conditions based on the predefined configuration, for generating training data that includes a plurality of datasets. At least one dataset from the plurality of datasets is associated with a corresponding fault of the at least one component of the drive train.

Abstract: A system, apparatus, and method of determining a condition of at least one bearing in a system are provided. The method includes receiving operation data associated with the system from one or more sensing units associated with the system and determining an operation profile of the at least one bearing from the operation data. The operation profile includes a vibration response, a thermal response, and/or a frequency response associated with the at least one bearing. An impact force profile is determined during operation of the at least one bearing based on the operation profile and a virtual bearing model trained on operation profiles and impact force profiles associated with a group of bearings comparable with the at least one bearing. The condition of the at least one bearing is determined based on the impact force profile.

Abstract: A component of the technical system, a component designation and a characteristic parameter designation for a characteristic parameter of relevance to the design of the components are read and a search engine is queried with same is provided. The documents found by the search engine are read and component information, e.g. product information concerning a specific component, is extracted from said documents. The extracted component information is supplied to a machine learning routine which has been trained, using a plurality of predefined training component information and training characteristic parameter values, to reproduce predefined training characteristic parameter values using predefined training component information. Output data from the machine learning routine is selected as characteristic parameter values and inserted into a planning data record. The planning data record is then output to design the technical system.

Abstract: A system, apparatus and method for monitoring faults in an electric machine is provided. The method includes obtaining a reference measurement from at least one sensing unit associated with the electric machine. Further, a characteristic signature is generated based on the reference measurement using a digital twin of the electric machine. The digital twin is a virtual representation indicating a state of the electric machine in real-time. The characteristic signature is further analyzed to identify a fault associated with the electric machine. Further, a notification indicating a visual representation of the fault is outputted on an output device.

Abstract: In order to monitor the temperature of an electromechanical machine using electrical operating data of the machine, structural data concerning a geometry, a thermal conductivity and an electrical conductivity of elements of the machine is imported. Using the structural data and the electrical operating data, electrical energy losses in the machine are continuously simulated in a spatially resolved manner by means of an electrical simulation model of the machine. Furthermore, a temperature distribution in the machine is continuously simulated by means of a thermal simulation model of the machine using the structural data and the simulated electrical energy losses. In accordance with the simulated temperature distribution, a temperature value is then determined for a component of the machine and output in order to monitor its temperature.

Abstract: A device for compensating for vibration and/or material stress of a component of a high-voltage system filled with a viscous medium includes a piston and a housing. A first end piece of the piston may be coupled to the component of the system. A second end piece of the piston may be at least partly within the housing and enclosed thereby, enabling movement of the piston and the housing in opposite directions along an axis. The second end piece may be coupled to an inner wall of the housing by at least one spring. The piston and the housing are surrounded by the medium filling the system. A method and computer program product for computer-aided design of a device for compensating for vibration and/or material stress of a component of the system filled with a viscous medium are also provided.

Abstract: A computer-implemented method of monitoring and/or controlling an electro-mechanical device, such as an electrical motor and/or generator, includes determining a first probability distribution of a virtual measurement variable, such as temperature at a predetermined position, of the electro-mechanical device. A confidence level is determined for a first value of the virtual measurement variable based on the first probability distribution. An operating mode of the electro-mechanical device is changed based on the confidence level, and/or an indication is displayed on a display. The indication instructs a user to change the operating mode of the electro-mechanical device.

Abstract: A system, apparatus and method for estimating remaining useful life of at least one bearing is provided. The method includes receiving request for analyzing defect in bearing from source, determining vibration spectrum of bearing from the received operational data, monitoring an impact of defect on one bearing over a period of time based on the determined vibration spectrum, determining characteristic values from the vibration spectrum for which the impact of the defect on the bearing is above a threshold range, determining impact force during an operation of the at least one bearing based on the determined characteristic values and one or more parameters obtained from a virtual bearing model, determining remaining useful life of the bearing based on the determined impact force during the time period and generating a notification indicating the remaining useful life of the bearing on output device.

Abstract: A method for determining a remaining useful life of a bearing having a surface defect includes determining a defect size of the surface defect based on oscillations of the bearing. The method also includes determining, based on the defect size, at least one of the principal stresses or a contact force of the bearing caused by the surface defect. The method also includes determining the remaining useful life of the bearing based on at least one of the principal stresses and/or the contact force.

Abstract: A method for determining a remaining useful life of a bearing having a surface defect includes determining a defect size of the surface defect based on oscillations of the bearing. The method also includes determining, based on the defect size, at least one of the principal stresses or a contact force of the bearing caused by the surface defect. The method also includes determining the remaining useful life of the bearing based on at least one of the principal stresses and/or the contact force.

Abstract: System, apparatus and method of determining condition of at least one bearing (810) in a system is disclosed. The method includes receiving operation data associated with the system from one or more sensing units associated with the system; determining an operation profile of the at least one bearing (810) from the operation data, wherein the operation profile includes at least one of a vibration response, a thermal response and a frequency response associated with the at least one bearing (810); determining an impact force profile during operation of the at least one bearing (810) based on the operation profile and a virtual bearing model (400, 600) trained on operation profiles and impact force profiles associated with a group of bearings comparable with the at least one bearing (810); and determining the condition of the at least one bearing (810) based on the impact force profile.

Abstract: A device for compensating for vibration and/or material stress of a component of a high-voltage system filled with a viscous medium includes a piston and a housing. A first end piece of the piston may be coupled to the component of the system. A second end piece of the piston may be at least partly within the housing and enclosed thereby, enabling movement of the piston and the housing in opposite directions along an axis. The second end piece may be coupled to an inner wall of the housing by at least one spring. The piston and the housing are surrounded by the medium filling the system. A method and computer program product for computer-aided design of a device for compensating for vibration and/or material stress of a component of the system filled with a viscous medium are also provided.

Abstract: A component of the technical system, a component designation and a characteristic parameter designation for a characteristic parameter of relevance to the design of the components are read and a search engine is queried with same is provided. The documents found by the search engine are read and component information, e.g. product information concerning a specific component, is extracted from said documents. The extracted component information is supplied to a machine learning routine which has been trained, using a plurality of predefined training component information and training characteristic parameter values, to reproduce predefined training characteristic parameter values using predefined training component information. Output data from the machine learning routine is selected as characteristic parameter values and inserted into a planning data record. The planning data record is then output to design the technical system.