Turn millions of data points into
clear conclusions.
Stripcharts capture the full story of a recording, but reviewing long trend data manually is time consuming and often inconclusive. This white paper explains how Merlin™ applies context aware automation to stripchart data, examining voltage and current behavior across all phases to determine root cause and attribution.
Merlin™ organizes findings into focused analysis modules that help engineers move from raw data to defensible conclusions more efficiently.
Key topics covered:
- Manual Stripchart Review Challenges
- Context-Aware Automation with Merlin™
- Event Attribution and Safety Detection
- Voltage, Flicker, and Harmonic Trend Analysis
Why utilities should care:
Long interval recordings can contain millions of data points. Manual review relies on thresholds and visual scanning, which can miss context. Automated stripchart analysis helps utilities attribute events, detect loose neutrals, evaluate voltage regulation, correlate flicker with load, and identify harmonic trends more efficiently and consistently.
To see Merlin™ in action:
↠ Contact sales to analyze your data
↠ Run the Demo
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