Abstract: Techniques for distribution network event correlation and localization comprising receiving alarm data, event data, and hierarchical data. Identifying, based at least in part on the alarm data, the event data, and the hierarchical relationship data, a correlation between alarms or events detected by or delivered to the system, wherein the alarms or the events resulted in an event that propagated across the system, and the event generated alarms detected by a plurality of sensors in the system. Determining a location of the event based at least in part on the correlation, first and second time series data associated with first and second sensors, and the hierarchical relationship; then displaying descriptive information identifying the location of the event and one or more response tools for responding to the event.

Abstract: Techniques for detecting service regulator failures comprising receiving time series data from a plurality of sensors in a system. Receiving hydraulic model data associated with the system. Identifying a correlation between first time series data associated with a first sensor of the plurality of sensors and second time series data associated with a second sensor of the plurality of sensors. Determining that the first sensor and the second sensor are disposed downstream of a device for controlling a pressure of a product of the system. Determining a likelihood of a failure of the device is greater than or equal to a threshold. Generating an event and displaying descriptive information identifying the event and one or more response tools for responding to the event.

Abstract: Techniques for distribution network event correlation and localization comprising receiving alarm data, event data, and hierarchical data. Identifying, based at least in part on the alarm data, the event data, and the hierarchical relationship data, a correlation between alarms or events detected by or delivered to the system, wherein the alarms or the events resulted in an event that propagated across the system, and the event generated alarms detected by a plurality of sensors in the system. Determining a location of the event based at least in part on the correlation, first and second time series data associated with first and second sensors, and the hierarchical relationship; then displaying descriptive information identifying the location of the event and one or more response tools for responding to the event.

Abstract: Techniques for identifying and classifying distribution network transient pressure events comprising receiving time series pressure data from a plurality of sensors in a system. Identifying, based at least in part on the time series pressure data, a pressure change in a portion of the system. Generating, based at least in part on the identifying of the pressure change, a severity score associated with the pressure change. Determining that the severity score is greater than or equal to a threshold. Based at least in part on the severity score being greater than or equal to the threshold, generating a transient pressure event and displaying descriptive information identifying the transient pressure event and one or more response tools for responding to the transient pressure event.