Threshold Setting: 

Establishing appropriate detection thresholds is crucial. These thresholds define the level at which a measured signal is considered indicative of a partial discharge. The thresholds can be based on pre-defined limits, statistical analysis, or comparisons to baseline measurements. By setting these thresholds, the interpretation process can focus on distinguishing significant PD activity from background noise or other non-relevant signals.

Data Analysis: 

The recorded PD data is analyzed to identify patterns, trends, and characteristics of the detected discharges. This analysis can involve examining parameters such as discharge magnitude, frequency, repetition rate, and waveform shape. Statistical techniques and data visualization tools may be used to facilitate the analysis. By analyzing the data, it becomes possible to identify common patterns or anomalies that could indicate insulation degradation, equipment issues, or potential failure risks.

Comparisons to Reference Data: 

Comparing the current PD data with historical data from the same equipment or similar systems can provide insights into changes or deterioration over time. Any significant deviations from the reference data may indicate an evolving problem or the need for further investigation. This comparison allows for a longitudinal assessment of PD activity and helps determine whether the detected discharges are within acceptable limits or deviating from the expected behavior.

Severity Assessment: 

Based on the detected PD characteristics, the severity of the discharges can be evaluated. This assessment considers factors such as discharge magnitude, occurrence rate, and the location of PD within the equipment. Severity classifications or risk assessment criteria specific to the equipment type or industry standards may be utilized. By assessing the severity of PD, maintenance teams can prioritize their actions and allocate resources accordingly to address the most critical issues first.

Correlation with Equipment Condition: 

The interpretation of PD results involves relating the detected discharges to the condition of the electrical equipment and insulation. This can include examining the insulation system’s age, operating conditions, maintenance history, and any known issues or vulnerabilities. Correlations between PD activity and equipment failure modes or insulation degradation mechanisms are considered. By understanding the context and equipment condition, it becomes possible to make more informed judgments about the potential causes and implications of the detected PD activity.

Expert Knowledge and Experience: 

Interpretation of PD results often requires the expertise of professionals who are knowledgeable about electrical systems, insulation materials, and PD phenomena. Their experience and understanding of the specific equipment and its operating environment play a crucial role in accurately assessing the significance and implications of the detected PD activity. Expert knowledge helps contextualize the data analysis and ensures that interpretations are based on sound engineering principles.

Risk Evaluation and Decision-Making: 

Based on the interpretation of the PD results, a risk evaluation is conducted to determine the potential consequences of the detected discharges. The risk assessment considers factors such as the criticality of the equipment, safety implications, operational impact, and cost implications. This evaluation helps prioritize mitigation actions and determine the appropriate maintenance or repair strategies. By weighing the risks associated with the detected PD, decision-makers can make informed choices regarding further inspections, repairs, or replacement of equipment to minimize potential hazards and downtime.

In summary, the interpretation of PD detection results involves setting appropriate thresholds, analyzing the data, comparing it to reference data, assessing the severity, correlating with equipment condition, leveraging expert knowledge, and conducting risk evaluations. By following these steps, maintenance teams can gain valuable insights into the condition of electrical systems, identify potential issues, and make informed decisions to ensure reliability and safety.