High Voltage Bushing Temperature Monitoring via Liquid Level

The patent uses a mathematical model to create a virtual copy of the temperature distribution in the bushing, eliminating the need for physical temperature sensors inside the bushing. The model calculates temperature based on measurable parameters like dielectric liquid level, ambient temperature, and current, providing temperature monitoring capability without introducing additional failure points into the bushing structure.

The patent introduces a mathematical model as an intermediary between the physical bushing and the temperature monitoring system. Instead of directly measuring temperature with sensors in the bushing, the model mediates by calculating temperature distribution based on other measurable parameters, thus avoiding the reliability issue of in-bushing sensors while still providing temperature monitoring.

The mathematical model creates a complete virtual representation of the temperature distribution throughout the bushing using only a few external measurements. This single model-based approach replaces what would otherwise require multiple physical sensors distributed throughout the bushing, significantly reducing device complexity while maintaining comprehensive temperature monitoring capability.

The mathematical model serves multiple functions simultaneously: it estimates temperature distribution, identifies hot spots, monitors overall bushing condition, and provides data for dynamic rating. This single multi-functional model replaces what would otherwise require multiple dedicated sensors and measurement systems, reducing complexity while improving measurement precision.

The mathematical model creates a detailed virtual copy of the temperature field in and around critical areas without requiring physical sensors to be placed there. The model calculates temperatures in critical regions based on external measurements and thermal modeling, providing precise critical area temperature detection while keeping the bushing free of additional components that could fail.

The mathematical model acts as an intermediary that indirectly measures temperatures in critical areas through calculations based on external parameters. Instead of placing sensors directly in critical areas (which would reduce reliability), the model mediates by inferring critical area temperatures from measurements taken outside the bushing, maintaining both precision and reliability.