Abstract
Dielectric loss factor tanδ detected by capacitive equipment online monitoring system will be affected by environmental fluctuations, thereby affecting the failure predication of the equipment and probably causing false positives or false negatives. This paper has established a grey correlation model that detects the influences that major environmental factors (temperature, humidity, contamination) have on online tanδ monitoring value for capacitive equipment. The actual onsite online monitoring data were employed to obtain the gray correlation degree between various environmental parameters and tanδ for capacitive equipment. The results indicate that there is a strong correlation between tanδ and environmental factors, and each effect weight will show seasonal differences with changing environmental conditions. Further, it has discovered that the ambient relative humidity of 60% with ambient temperature is the critical value that influences weight change, which provides a reference for the insulation diagnostics of subsequent capacitive equipment.
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