n-q-phi and dltU Processing for Partial Discharge Analysis
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This section introduces several programs related to partial discharge analysis that can help you process data more effectively. The first is the n-q-phi processing program, which employs statistical analysis algorithms to calculate voltage distributions across different regions and determine specific partial discharge characteristics. This program typically uses clustering algorithms to categorize discharge pulses based on their phase (phi), magnitude (q), and repetition rate (n). The second program focuses on dltU (delta U) processing, which calculates voltage variation quantities using differential analysis methods and compares them with partial discharge patterns through correlation algorithms. Additionally, there are other practical programs available that can be selected and utilized based on specific application requirements, such as noise filtering routines, pulse shape analysis functions, and trend monitoring capabilities for long-term insulation assessment.
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