Patent ID: 11868478
Assignee: SAUDI ARABIAN OIL COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 0:
1. A method comprising:
receiving old configuration data, industry security standards data, and new configuration data at an input device, wherein the new configuration data is associated with a newly commissioned system;
training an artificial neural network of a predictor module of a processor using the old configuration data and the industry security standards data as training data to perform a logistic regression, wherein the artificial neural network has a plurality of nodes arranged in at least one layer with interconnections between the nodes, and wherein the nodes and interconnections are configured through the training using the old configuration data and the industry security standards data;
generating a binary classification of the new configuration data as having a binary state being only a pass state or a fail state,
wherein the pass state indicates that the new configuration data of the newly commissioned system exceeds the requirements of both the old configuration data and the industry security standards data, and
wherein the fail state indicates that the new configuration data of the newly commissioned system does not exceed the requirements of both of the old configuration data and the industry security standards data;

generating a state parameter specifying a reason which causes the new configuration data to pass or fail; and
outputting, at an output device, a classification report including the reason and the binary classification indicating only the pass state or the fail state of the new configuration data.