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Estimating Sub-Second Event Durations from Interval Data When Waveform Capture Isn't Available
This white paper demonstrates a method for estimating the duration of short voltage sags using only interval (stripchart) data, even when waveform or event capture is unavailable. By analyzing minimum, maximum, and average RMS values within each interval, the paper shows how to mathematically approximate event duration with surprising accuracy, even with low-resolution data. Real-world and laboratory examples illustrate the approach, including adjustments for multi-phase systems and overlapping events.
Key topics include:
- Understanding Interval Data
- Mathematical Approach to Event Duration Estimation
- Laboratory Example: Controlled Sag Event
- Resolution Limits and Practical Considerations
- Real-World Application: Motor Start Event
- Significant Change Report Integration
Why utilities should care:
The described method enables accurate event duration estimation from legacy or incomplete data, supporting compliance checks, root cause analysis, and reliability assessments even when high-resolution waveform records are missing or unavailable.
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