Merlin™: AI-Driven Power Quality
Insights Without the Data Overload
Large PQ recordings hide critical issues — long before anyone has time to search for them.
This white paper explains how Merlin™, an AI-assisted analysis engine built into PQ Canvass, streamlines the first step of any investigation: finding the problems that matter. Instead of manually reviewing hundreds of waveform captures or weeks of trend data, Merlin™ analyzes an entire recording automatically and presents the key findings in one clear dashboard. It highlights dominant disturbances, ties them to ANSI C84.1, IEEE 1453, and IEEE 1668, and links directly to the waveforms and intervals that need attention.
Designed for working power quality engineers, Merlin™ doesn’t replace judgment or traditional tools—it accelerates them. By ranking events by severity, summarizing stripchart patterns, and generating concise, plain-language reports, Merlin™ removes hours of manual triage so engineers can focus on diagnosis and corrective action.
Key topics covered:
- How Merlin™ integrates into PQ Canvass and how analyses are started
- The Power Quality Report and PQ Issue Matrix
- Quick compliance indicators for ANSI C84.1, IEEE 1453, and IEEE 1668
- Focus-area reports for flicker, harmonics, sags, swells, and imbalance
- Severity-ranked waveform and stripchart analysis with regions of interest
Why utilities and PQ professionals should care:
Modern PQ datasets are massive, and critical disturbances often hide in plain sight. Merlin™ cuts through that noise—pinpointing sags, swells, flicker, harmonics, transients, and loose-neutral behavior in minutes rather than hours. For teams managing increasing DER penetration, customer PQ complaints, or long-term monitoring programs, Merlin™ boosts efficiency, improves investigative accuracy, and strengthens communication with customers. This paper shows how Merlin™ turns PQ Canvass into a faster, more insight-driven platform for real-world power quality work
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