Patent ID: 11972398
Assignee: FIIX INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A method, comprising:
clustering, by a system comprising a processor, work order data that defines closed work orders into groups of work orders corresponding to respective types of maintenance tasks;
identifying, by the system based on statistical analysis applied to a group of work orders of the group of work orders, one or more features of a work order, included in the group of work orders, that are anomalous relative to corresponding one or more features of other work orders included in the group of work orders;
determining, by the system based on application of a machine learning algorithm to the closed work orders, boundaries of a multi-dimensional feature space within which a combination of values of three or more features of the closed work orders are typically located;
determining, by the system, whether values of the combination of three or more features for the work order are outside the multi-dimensional feature space;
generating, by the system, a risk score for the work order based on a number of the one or more features that are anomalous, identities of the one or more features, and a result of the determining of whether the values of the combination of three or more features of the work order are outside the multi-dimensional feature space;
assigning, by the system, a risk level to the work order based on the risk score; and
rendering, by the system, a work order report that displays the risk level for the work order.