基于变权与区间数−集对分析理论的电缆中间接头 状态评估.
Gespeichert in:
| Titel: | 基于变权与区间数−集对分析理论的电缆中间接头 状态评估. (Chinese) |
|---|---|
| Alternate Title: | Condition Assessment of Cable Intermediate Joint Based on Variable Weight and Interval Number-set Pair Analysis Theory. (English) |
| Autoren: | 陈嘉杨, 彭显刚 |
| Quelle: | Journal of Guangdong University of Technology; Sep2024, Vol. 41 Issue 5, p30-38, 9p |
| Schlagwörter: | STANDARD deviations, EVALUATION methodology, CABLES |
| Abstract (English): | For the randomness and dynamics problem of condition information and evaluation level boundary in the cable joint, an insulation state evaluation method of cable intermediate joint based on variable weight and interval number-set pair analysis theory is proposed. The partial discharge characteristic parameters of cable joint are extracted as the state evaluation index, and the index data are expressed in intervals. The variance and standard deviation are introduced to measure the volatility of the interval data of each index, and then the objective weight of the index is given. For the problem of unbalanced deterioration of partial discharge indicators, the corresponding state variable weight function is constructed to obtain the variable weight by comprehensively considering the deterioration degree and trend parameters of the indicators. Finally, the coupling method of interval number and set pair analysis is applied to obtain the state level of cable joint according to the expectation of comprehensive connection. By analyzing the online monitoring data of a 10 kV cable intermediate joint, the validity and feasibility of the state evaluation method are verified. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): | 针对电缆接头状态信息以及评估等级边界的动态性和随机性问题, 提出基于变权与区间数−集对分析理论的电 缆中间接头绝缘状态评估方法。提取电缆接头局部放电特征参数作为状态评估指标, 并对指标数据进行区间表示。引入方差和标准差来衡量指标区间数据的波动性, 进而赋予指标的客观权重; 对于局部放电指标劣化不均衡的问 题, 综合考虑指标的劣化程度与趋势参数, 构建相应的状态变权函数从而得到变权权重。最后应用区间数与集对分 析耦合方法, 依据最大综合联系期望值确定电缆接头的状态等级。通过对某地 10 kV 电缆中间接头的在线监测数据 进行算例分析, 验证了该状态评估方法的有效性和可行性。 [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Guangdong University of Technology is the property of Journal of Guangdong University of Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Datenbank: | Complementary Index |
Nájsť tento článok vo Web of Science Schreiben Sie den ersten Kommentar!