An Evidential Reasoning Approach Combined With Fuzzy Theory for Insulation Condition Assessment of XLPE Cable

To improve assessment accuracy, this paper proposes an insulation evaluation model based on an evidence reasoning approach combined with the fuzzy theory, which obtains weights of each parameter objectively and construct the distribution of belief function with uncertainty effectively. Firstly, main insulation parameters for condition assessment are presented, then relevant condition evaluation algorithms are proposed. Subsequently, the insulation condition assessment steps and model are given. Finally, on-line monitoring data are adopted to verify the effectiveness of the proposed algorithms and model for the insulation assessment of XLPE cable. Moreover, the authors compare results with other evaluation methods, which manifests the proposed model and algorithms have potential for equipment state assessment.