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Anomaly Detector Agent

Using ML models trained on historical sensor data, this agent detects point, contextual, and collective anomalies with severity classification. It calculates deviation from expected values, identifies contributing factors, and generates anomaly descriptions with confidence scores.

Agent ID
anomaly-detector
Sector Electric Heating Systems & Industrial IoT
Status
Operational

Problem Statement

The challenge addressed

Early detection of equipment anomalies is critical for preventing failures, but manual monitoring of hundreds of sensor readings is impractical and expert knowledge is required to identify subtle degr...

Core Logic

How the agent solves it

Using ML models trained on historical sensor data, this agent detects point, contextual, and collective anomalies with severity classification. It calculates deviation from expected values, identifies...

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