Intelligent line sensors enable utilities to quickly locate and react to unplanned outages, reducing outage duration and improving reliability metrics. Leveraging line sensors for proactive strategies to mitigate unplanned outages takes those reliability improvements a significant step further. When utilities can predict impending outages and address them before they happen, the positive impact on reliability and customer satisfaction is far greater
Sentient Energy’s solution for proactive outage mitigation is the MM3ai System. The system combines intelligent line sensors, software, and machine learning techniques to provide utilities with predictive indicators of impending outages. The MM3ai System generates a daily report of feeder anomaly activity with actionable alerts for likely future outages.
With high-fidelity waveform data from MM3ai line sensors and proprietary algorithms developed by utility industry data science experts, the MM3ai System’s daily report identifies outage precursor anomalies indicative of vegetation contact and impending equipment failures. The MM3ai System includes:
The MM3ai System gives utilities an expanded view of their distribution system, enabling them to go beyond reactive response and proactively address impending outages. Visualization of anomaly activity by feeder segment enables utility engineers to initiate inspections of segments at high risk of outage so that likely faults can be identified and addressed, boosting reliability metrics and customer satisfaction. Feeder inspection and validation results are incorporated into analytics model data to consistently refine anomaly classifications and further improve success rates.