PREDICTING PROCESS FAILURES USING ANALYTICS

摘要

A set of data records chronicles attributes of a component in a process over a time period. The time period includes a failure event associated with the component. A status is assigned to the component on each record date in the time period based on the temporal proximity of the record date to the failure event. A computer-based predictive analytics model is developed for predicting the assigned statuses based on the attributes of the failing component. The computer-based predictive analytics model is then applied to a second set of data records that is chronicling the component attributes in the current time period, and predicts a future failure event based on those attributes. An action is then performed based on the predicted future failure event.

主权项

1. A method for predicting failures in a process, the method comprising:
identifying a set of data records generated over a time period, each data record having a record date within the time period, the set of data records chronicling attributes of a component in the process during the time period, the component associated with at least one failure event during the time period; assigning a status to the component on each record date in the set based on a temporal proximity of the record date to the at least one failure event; developing a computer-based predictive analytics model based at least in part on a model equation for predicting the status on a plurality of the record dates in the set, each predicted status based at least in part on the attributes chronicled on the associated record date; identifying a second set of data records generated over a second time period, the second set of data records chronicling the attributes during the second time period; predicting a future failure event by applying the computer-based predictive analytics model to the second set of data records; and performing an action based on the predicting the future failure event.