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公开(公告)号：US20240044449A1
公开(公告)日：2024-02-08
申请号：US18257634
申请日：2020-12-22
Applicant: ABB Schweiz AG
Inventor： Panagiotis Kakosimos , Olli Alkkiomäki , Teija Aaltonen
CPC classification number: F16N29/00 , G01N33/2888 , F16N2250/08 , F16N2210/14 , F16N2210/18
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.
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公开(公告)号：US20230349848A1
公开(公告)日：2023-11-02
申请号：US18306725
申请日：2023-04-25
Applicant: ABB Schweiz AG
Inventor： Panagiotis Kakosimos , Olli Alkkiomäki
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.
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公开(公告)号：US20230349772A1
公开(公告)日：2023-11-02
申请号：US18306691
申请日：2023-04-25
Applicant: ABB Schweiz AG
Inventor： Panagiotis Kakosimos , Olli Alkkiomäki
IPC: G01K3/10
CPC classification number: G01K3/10
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.
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公开(公告)号：US20240283386A1
公开(公告)日：2024-08-22
申请号：US18568273
申请日：2022-06-07
Applicant: ABB Schweiz AG
Inventor： Panagiotis Kakosimos , Olli Alkkiomäki , Zlatko Kolondjovski
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.
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公开(公告)号：US20240280503A1
公开(公告)日：2024-08-22
申请号：US18426428
申请日：2024-01-30
Applicant: ABB Schweiz AG
Inventor： Teemu Tanila , Olli Alkkiomäki , Joni Siimesjärvi
IPC: G01N21/88 , G06V10/141 , G06V10/56 , G06V10/60
CPC classification number: G01N21/8851 , G01N21/8806 , G06V10/141 , G06V10/56 , G06V10/60
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.
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Patent Agency Ranking
公开(公告)号：US20240213905A1
公开(公告)日：2024-06-27
申请号：US18566765
申请日：2022-06-02
Applicant: ABB Schweiz AG
Inventor： Panagiotis Kakosimos , Olli Alkkiomäki , Zlatko Kolondjovski
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.
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公开(公告)号：US20210103277A1
公开(公告)日：2021-04-08
申请号：US17061794
申请日：2020-10-02
Applicant: ABB Schweiz AG
Inventor： Olli Alkkiomäki , Teemu Tanila , Joni Siimesjärvi
IPC: G05B23/02 , G06N20/00 , G06F16/903
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.
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公开(公告)号：US11899440B2
公开(公告)日：2024-02-13
申请号：US17061794
申请日：2020-10-02
Applicant: ABB Schweiz AG
Inventor： Olli Alkkiomäki , Teemu Tanila , Joni Siimesjärvi
IPC: G05B23/02 , G06N20/00 , G06F16/903
CPC classification number: G05B23/0283 , G06F16/90335 , G06N20/00
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.
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公开(公告)号：US20230152768A1
公开(公告)日：2023-05-18
申请号：US18055625
申请日：2022-11-15
Applicant: ABB Schweiz AG
Inventor： Teemu Tanila , Olli Alkkiomäki , Joni Siimesjärvi
IPC: G05B19/042
CPC classification number: G05B19/042 , G05B2219/2639
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.
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公开(公告)号：US20220382269A1
公开(公告)日：2022-12-01
申请号：US17772553
申请日：2020-10-15
Applicant: ABB Schweiz AG
Inventor： Olli Alkkiomäki , Joni Siimesjärvi , Ville Särkimäki
IPC: G05B23/02
Abstract: Disclosed herein is a method for predicting a faulty behaviour of an electrical converter. The method includes receiving an operation point indicator of the electrical converter indicative of an actual operation point of the electrical converter, where the electrical converter is connected to a rotating electrical machine; receiving a measured device temperature of a power semiconductor device of the electrical converter indicative of an actual temperature of the power semiconductor device; inputting the operation point indicator as input data into a machine learning algorithm trained with historical data comprising operation point indicators and associated device temperatures, where the historical data was recorded during normal operation of a power semiconductor device; estimating an estimated device temperature with the machine learning algorithm, where the estimated device temperature represents a device temperature during a normal operation; and predicting the faulty behaviour by comparing the estimated device temperature with the measured device temperature.
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