Patent ID: 11899440
Assignee: ABB SCHWEIZ AG
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 0:
1. A computer-implemented method comprising:
receiving a user input comprising industrial device type information, which at least indicates at least one industrial device type;
retrieving, using the industrial device type information, from a product database comprising product data of a plurality of industrial devices, product data of one or more industrial devices, which are of the same industrial device type as the at least one industrial device type indicated;
determining, for each industrial device whose product data is retrieved, whether or not process data is available for the industrial device;
in response to process data being available, performing a remote monitoring analysis to the process data to obtain and output one or more predictions of the at least one status;
in response to no process data being available, performing the following:
inputting the retrieved product data to a trained model, wherein the trained model utilizes machine learning and wherein the trained model has been trained using process data collected by a subset of the plurality of the industrial devices, predictions of at least one status generated by a remote monitoring analysis tool from the process data, and product data of the subset of the plurality of the industrial devices;
processing, by the trained model, the inputted product data to one or more estimated predictions of the at least one status; and
outputting the one or more estimated predictions of the at least one status.