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Triggered waveform captures are some of the most valuable—and most time-consuming—data in any power quality investigation. A single long-duration recording can contain hundreds of waveform captures, each potentially holding clues to motor starts, transients, rapid voltage changes, or upstream switching events. Manually reviewing each capture is tedious, error-prone, and often impractical under real-world time constraints.
This white paper explores how Merlin™, PMI’s AI-assisted analysis engine built into PQ Canvass, transforms waveform review from a manual chore into a guided, prioritized process. Merlin™ automatically analyzes every triggered and periodic waveform in a recording, assigns a severity score, and presents investigators with the most critical captures first—along with plain-language explanations of what’s happening and why it matters.
Rather than replacing engineering judgment, Merlin™ accelerates it. By ranking waveforms by severity, highlighting standards excursions, and identifying patterns that emerge over hours, days, or weeks, Merlin™ helps engineers quickly understand where to focus—and what they can safely ignore.
How PMI recorders generate triggered and periodic waveform captures
How Merlin™ analyzes, classifies, and severity-ranks waveform events
The Waveform Report and how it summarizes entire recordings
Identifying sags, swells, rapid voltage change, harmonics, interruptions, and transients
Pattern recognition, trend detection, and root-cause indicators across large waveform sets
Short-duration disturbances often explain the biggest customer complaints—and they’re easy to miss when buried in volume. Merlin™ brings structure and prioritization to waveform analysis, helping engineers spot critical events faster, recognize recurring patterns, and build stronger, defensible conclusions. This paper shows how Merlin™ turns waveform overload into actionable insight—making detailed PQ investigations faster, clearer, and far less error-prone.
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