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Unlocking Event Duration Insights from Underused Cycle Histogram Data
This white paper demonstrates how RMS voltage cycle histograms, typically reserved for statistical analysis, can be leveraged to accurately compute event durations at the cycle level. By analyzing histogram bin counts and correlating them with known load behaviors, the paper shows that event durations‚ such as voltage sags caused by pump starts‚ can be determined without relying on waveform captures or advanced record types. Real-world examples validate the approach, revealing that cycle histograms provide reliable, high-resolution event timing data across entire recording sessions.
Key topics include:
- Introduction to Cycle Histograms
- Traditional Uses and Limitations
- Methodology for Event Duration Calculation
- Case Study: Controlled Voltage Sag Test
- Real-World Application: Pump Start Events
- Data Analysis and Validation
- Practical Considerations and Recommendations
Why utilities should care:
Cycle histograms offer a continuous, memory-efficient, and always-on method for extracting precise event durations, even when waveform capture is unavailable. This enables improved power quality analysis, asset management, and operational decision-making based on comprehensive event data.
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