fuuz-ml-telemetry

What problem does it solve?

This Skill provides patterns and best practices for building machine learning pipelines to analyze industrial telemetry data, enabling anomaly detection, predictive maintenance, and trend analysis on the FUUZ platform.

Core Features & Use Cases

• Real-time Anomaly Detection: Implement EWMA baselines and Z-score alerts for immediate issue identification.
• Predictive Analytics: Build forecast projections and breach predictions to anticipate future states.
• Cross-Asset Correlation: Discover relationships between different industrial assets using Pearson correlation.
• Use Case: Detect when a critical machine's temperature is trending upwards and predict when it will breach its safety limit, allowing for proactive maintenance.

Quick Start

Use the fuuz-ml-telemetry skill to build a real-time flow for EWMA baseline updates and Z-score anomaly detection.