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随着建设工程电力电缆线路的广泛使用，对其故障原因的准确诊断成为保障电力系统安全稳定运行的关键之一。将组合有序加权平均（combination ordered weighted averaging,C-OWA）与灰色关联分析（grey relational analysis,GRA）相结合，构建了一种低压电缆线路故障致因分析模型（C-OWA-GRA模型）。COWA算子赋权法根据各影响因素的实际贡献度动态调整权重，克服了传统赋权方法的局限性。灰色关联分析通过分析故障现象与各影响因素之间的关联程度，实现对故障原因的识别。并通过实际案例，验证了所提方法的有效性。结果表明：C-OWA算子赋权法能够有效提高故障致因分析中各因素的权重合理性，增强分析结果的客观性；灰色关联分析则通过量化故障现象与影响因素之间的关联度，从而准确识别电缆线路故障的主要致因。该研究为故障诊断提供了科学依据，为电缆故障预防和维护提供了新的思路和方法。
Abstract：With the widespread use of power cable lines in construction projects, the accurate diagnosis of their failure causes has become one of the key issues in ensuring the safe and stable operation of the power system. In this study, combining combination ordered weighted averaging(C-OWA) and grey relational analysis(GRA), a model(C-OWA-GRA) for cause analysis of low-voltage cable line failures was constructed. The limitations of traditional weighting methods were overcome through dynamically adjusting the weights according to the actual contribution degree of each influencing factor by the C-OWA operator weighting method. Grey relational analysis identified the causes of failures by analyzing the degree of correlation between failure phenomena and various influencing factors. Subsequently, the effectiveness of the proposed method was verified through practical cases. The research results show that the weight assignment by the C-OWA operator weighting method can effectively improve the rationality of the weights of various factors in failure cause analysis and enhance the objectivity of the analysis results. The grey relational analysis method provides a scientific basis for failure diagnosis by quantifying the degree of correlation between failure phenomena and influencing factors, which enables the accurate identification of the main causes of cable line failures and offering new ideas and methods for failure prevention and maintenance.
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基本信息:
DOI：
中图分类号:TM75
引用信息:
[1]江松林,程千晟.C-OWA-GRA在低压电缆故障致因分析中的应用[J].中国科技论文,2025,20(08):664-672.
基金信息:
闽西职业技术学院横向科研项目(KYC2024022)