Abstract: A computer-implemented method for condition monitoring of an industrial drive. According to an aspect, the method includes: obtaining an image of a component surface of the industrial drive, wherein the image includes a first number of pixels; determining, using the image and at least one reference image for the component surface, a contamination index of the image, wherein the at least one reference image includes the first number of pixels; and triggering, in response to the contamination index being above a pre-determined first threshold, a maintenance warning.

Abstract: A method of determining the cooling efficiency of an electric motor having a stator provided with stator windings, the method including: a) injecting a current into the stator windings to heat the stator windings, b) obtaining a temperature drop in the stator windings after the current injection in step a) has been terminated or the injected current has been decreased, c) comparing the temperature drop with a reference temperature drop, and d) concluding, based on the comparison, whether the cooling efficiency of the electric motor has deteriorated or not.

Abstract: A method of updating a thermal model describing the thermal behaviour of an electric motor having a stator provided with stator windings, the method including: a) injecting a current into the stator windings to heat the stator windings, b) obtaining temperature measurements over time from each of a plurality of temperature sensors distributed in the electric motor while step a) is being performed and the stator windings are heating up, or after step a) has been terminated or the current has been decreased, and the electric motor is cooling down, and c) updating parameter values of the thermal model based on the temperature measurements.

Abstract: A field of electric drive devices and arrangements including a plurality of power semiconductor components formed in or on a common substrate, and more particularly to a method and an apparatus for monitoring the condition of a power semiconductor module. The method for monitoring the condition of a power semiconductor module of an electric drive device connected to an electric machine includes the steps of engaging a locking of the rotor of the electric machine at zero speed or at near zero speed by injecting DC currents by the electric drive device, initiating test temperature recording in the power semiconductor module, disengaging the locking the rotor of the electric machine by the electric drive device, terminating the test temperature recording and storing the recorded data of the test temperature as test temperature data, and determining the condition of the power semiconductor module utilising the test temperature data.

Abstract: To provide a status information also to one or more industrial devices for which no process data is available, a machine learning model is trained by using process data of a subset of industrial devices, corresponding product data, and statuses obtained by performing remote monitoring analysis to the process data. When user input including first information, which at least indicate at least one industrial device type is received, product data of one or more industrial automation devices, which are of the same indicated industrial device type is retrieved and inputted to the trained model, which outputs one or more estimated statuses.

Abstract: A method of detecting degradation of a lubricant in a bearing of an electrical machine, including: a) obtaining a first outer bearing ring temperature, b) changing the speed of the electrical machine, c) obtaining a second outer bearing ring temperature when the speed has changed, d) determining a thermal response value of the outer bearing ring based on the first outer bearing ring temperature and the second outer bearing ring temperature, e) comparing the thermal response value with a reference thermal response value for the same speed change as in step b), and f) in case the thermal response value differs from the reference thermal response value, concluding that the performance of the lubricant has degraded.

Abstract: A method and apparatus for monitoring a thermal load in an enclosure including at least one electric device, the apparatus being configured to receive temperature data on a temperature outside the enclosure, temperature data on a temperature inside the enclosure and data indicative of heat generated by the at least one electric device into the enclosure, to determine a thermal resistance of the enclosure and/or a thermal capacitance of the enclosure on the basis of the received data, and to determine a cooling status of the enclosure on the basis of the determined thermal resistance of the enclosure and thermal resistance reference data and/or on the basis of the determined thermal capacitance of the enclosure and thermal capacitance reference data.

Abstract: A method and apparatus for monitoring a thermal load in an enclosure comprising at least one electric device, the apparatus being configured to receive temperature data on a temperature inside the enclosure, to receive data indicative of heat generated by the at least one electric device into the enclosure, to associate and record the data indicative of the heat generated by the at least one electric device into the enclosure with the temperature data over at least one period of time, and to determine a thermal load caused by the at least one electric device in the enclosure on the basis of the data recorded over said at least one period of time.

Abstract: An electric power train includes an electric drive, an electric motor driven by the electric drive, and a meshing pair of a drive gear and a driven gear. The drive gear is coupled to the electric motor and the driven gear is coupled to a mechanical load. The backlash of the meshing pair of the drive gear and the driven gear is measured and estimated based on a time until a contact of teeth of the rotating drive gear and the driven gear during a startup of the electric motor. Wear of the meshing pair of the drive gear and the driven gear based on a change in the measured backlash over time during the operation of the electric power train.

Abstract: Disclosed is a method comprising obtaining a set of process data associated with an industrial process, wherein the set of process data includes measured values associated with the industrial process over a time period; estimating at least an energy consumption of each motor of a plurality motors over the time period based at least partly on the set of process data and a plurality of digital twins associated with the plurality of motors, wherein the plurality of digital twins includes at least a first digital twin of a first motor and a second digital twin of a second motor different to the first motor; extrapolating at least the energy consumption of each motor of the plurality of motors over an expected total useful lifetime of each motor; and indicating at least the extrapolated energy consumption of each motor of the plurality of motors.

Abstract: Disclosed herein is a method for predicting a faulty behaviour of an electrical converter.

Abstract: To provide a status information also to one or more industrial devices for which no process data is available, a machine learning model is trained by using process data of a subset of industrial devices, corresponding product data, and statuses obtained by performing remote monitoring analysis to the process data. When user input including first information, which at least indicate at least one industrial device type is received, product data of one or more industrial automation devices, which are of the same indicated industrial device type is retrieved and inputted to the trained model, which outputs one or more estimated statuses.

Abstract: Automated power conversion device operation and status data is received in a local terminal device. The operation and status data is forwarded from the local device to a remote device via a communications network. The remote device receives the operation and status data, and compares the received automated power conversion device operation and status data with automated power conversion device history data stored in a memory. Based on the comparing, the remote device generates a service recommendation for the automated power conversion device, Based on the generating, the remote device transmits the service recommendation to the local device via the communications network. The service recommendation is received in the local device. The local device displays the received service recommendation in to the user of the local device.

Abstract: A method comprises storing, in an automated power conversion device, operational information on the usage of the automated power conversion device, and information on user-adjustable parameter settings of the automated power conversion device. A local terminal device receives the operational information and the information on the user-adjustable parameter settings from the automated power conversion device, and forwards said information to a remote network node via a communications network. The received information is analyzed in the remote network node, and based on the analysis the remote network node generates a recommendation on an optimal set of user-adjustable parameters regarding the automated power conversion device. The generated recommendation is transmitted from the remote network node and received in the local terminal device.

Abstract: The present invention relates to the field of testing and maintenance of electric automation devices, such as testing and maintenance of electric drive apparatuses and to the field of electric drives used for industrial applications, and more particularly to a method for indicating a need for maintenance of an electric drive apparatus and to an electric drive apparatus.

Abstract: A method comprises storing, in an automated power conversion device, operational information on the usage of the automated power conversion device, and information on user-adjustable parameter settings of the automated power conversion device. A local terminal device receives the operational information and the information on the user-adjustable parameter settings from the automated power conversion device, and forwards said information to a remote network node via a communications network. The received information is analyzed in the remote network node, and based on the analysis the remote network node generates a recommendation on an optimal set of user-adjustable parameters regarding the automated power conversion device. The generated recommendation is transmitted from the remote network node and received in the local terminal device.

Abstract: Automated power conversion device operation and status data is received (205) in a local terminal device (105). The operation and status data is forwarded (206) from the local device (105) to a remote device (109) via a communications network. The remote device (109) receives (207) the operation and status data, and compares (207) the received automated power conversion device operation and status data with automated power conversion device history data stored in a memory. Based on the comparing, the remote device generates (207) a service recommendation for the automated power conversion device (101). Based on the generating, the remote device (109) transmits (208) the service recommendation to the local device (105) via the communications network. The service recommendation is received (209) in the local device (105). The local device (105) displays (209) the received service recommendation in to the user of the local device (105).

Abstract: A method and apparatus for testing the function of a Safe Torque Off (STO) feature for an electric drive. After activation of the STO feature, predefined switching commands are transmitted to power switches of the electric drive. Then a switching state of the power switches is determined responsive to the predefined switching commands. Finally, the functionality of the STO feature is determined based at least upon the determined switching states.