General Electric Company
WEAKLY-SUPERVISED EVENT GROUPING ON INDUSTRIAL TIME-SERIES DATA

Abstract:

According to embodiments, a system, method and non-transitory computer-readable medium are provided to perform fault analysis of time series data including receiving a first set of time series data samples associated with one or more instances of one or more events of a piece of machinery, and receiving one or more labels identifying a relevance of a particular instance to a particular event. One or more event groups is determined based upon the data samples and the labels. Each event group is associated with one or more features of an event. Each data sample of a subset of the data samples is grouped into one of the event groups, and an event pattern is determined based upon the grouping. An event grouping model is constructed based upon the grouping. The event grouping model associates an event pattern with a particular feature of the one or more features of the event.