Insulation Aging Life Prediction for High-Voltage Submarine Cables
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Solution Overview
Problem
Current methods for predicting the insulation aging life of high-voltage submarine cables are inaccurate due to the complex effects of multiple physical fields such as electric fields, thermal fields, and mechanical stress, with existing models failing to accurately reflect the combined effects of these factors.
Innovation Solution
A method and apparatus that utilize Weibull distribution to calculate characteristic breakdown time and determine an insulation aging life prediction model based on environmental data, including electric field, temperature, and mechanical stress, using a cable insulation aging life coefficient model in an electro-thermo-mechanical composite field to accurately predict insulation aging life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing prediction models are used, then the prediction process is simple, but the prediction accuracy is low due to inability to reflect combined effects of multiple physical fields
Solution Approach 1:
The patent combines multiple single-factor aging models (electric field, temperature, mechanical stress) into a unified composite field aging model. The model integrates the Weibull distribution function with aging acceleration factors for each physical field, merging them through a composite field factor G(E,T,M) that accounts for interactions between fields. This merging approach enables accurate prediction of insulation aging life under combined multi-physical field conditions while maintaining a systematic modeling framework.
Solution Approach 2:
The patent creates a composite prediction model that functions like a composite material - combining multiple theoretical components (Weibull distribution, aging acceleration factors, correlation coefficients) into a unified structure. The model uses composite field factors that represent the combined effect of electric field, temperature, and mechanical stress, similar to how composite materials combine different materials to achieve superior properties that individual materials cannot provide alone.
2Reliability
If single-factor aging models are used, then the model structure is simple, but the reliability is low because they cannot account for combined effects of electric field, temperature, and mechanical stress
Solution Approach 1:
The patent merges three separate single-factor aging models into one comprehensive composite field aging model. The model combines the electric field aging factor a(E), temperature aging factor b(T), and mechanical stress aging factor c(M) through the correlation coefficient model G(E,T,M). This merging ensures that the combined effects and interactions of multiple physical fields are captured, significantly improving prediction reliability for submarine cables operating in complex environments.
Solution Approach 2:
The patent introduces variable parameters that change based on the combined effects of multiple physical fields. The correlation coefficient G(E,T,M) dynamically adjusts the interaction effects between electric field, temperature, and mechanical stress. The model uses variable aging acceleration factors that are functions of multiple parameters rather than constant single-factor coefficients, allowing the model to adapt to different operating conditions and improve reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method effectively and accurately predicts the insulation aging life of high-voltage submarine cables under combined multi-physical composite fields, improving upon the limitations of existing models by considering the interplay of electric field, temperature, and mechanical stress.
Implementation Method 1
calculating characteristic breakdown time corresponding to the cable sample by Weibull distribution based on the cable breakdown time of the cable sample
Data Source
AI summary
The present disclosure relates to the field of high-voltage AC cable insulation technologies, and provides a method for predicting insulation aging life of a high-voltage submarine cable and a device. The method includes: obtaining environmental data and cable breakdown time of a cable sample; the environmental data including an electric field, temperature, and mechanical stress applied to the cable sample by an environment; calculating characteristic breakdown time corresponding to the cable sample by Weibull distribution based on the cable breakdown time of the cable sample; determining an insulation aging life prediction model of the high-voltage submarine cable based on the environmental data and the characteristic breakdown time of the cable sample; obtaining environmental data of a cable to be predicted in an actual application environment, and calculating insulation aging life of the cable to be predicted by using the prediction model.