Cable Remaining Life Prediction Based on Interpolation and Time-temperature Superposition Principle
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Abstract
By using the interpolation method and the principle of time-temperature superposition, and taking advantage of the data of high-temperature accelerated aging and the mechanical properties of resistance to mineral oil and ozone, the translation factors of each accelerated temperature are determined to quickly predict and evaluate the aging performance of the cable at the working temperature. Based on the Arrhenius model, the reference temperature data is converted into high-temperature data to establish the prediction equation for the decline of aging performance. It has been verified that the prediction results are reliable and meet the engineering requirements. This method can provide a reference for the data processing of accelerated aging of related materials.
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