基于知识和数据的牵引变压器状态评估系统

Traction Transformer State Evaluation System Based on Knowledge and Data Driven

为提高牵引供电关键设备态检修能力,设计了一套适用于铁路的牵引变压器服役健康管理系统。利用MATLAB在科学计算方面和C#在系统界面开发方面的优势进行互补。采用Mysql数据库和云服务器建立数据基本台账,以牵引变电所内变压器历史试验数据为驱动,构建了主变压器机理和经验的状态评估模型。机理模型采用主观层次分析法(analytic hierarchy process,AHP)-熵权法确定主客观权重,选择云模型确定各指标的隶属度,最后进行模糊运算得到合适评语。选择主成分分析法-鲸鱼优化算法-支持向量机(principal component analysis-whale optimization algorithm-support vector machines,PCA-WOA-SVM)联合分类评估,利用合成少数过采样技术(synthetic minority over-sampling technique,SMOTE)对数据集过采样以平衡样本的完整性。结果表明,数据集均衡化后识别准确率为96.67%,比处理前提高5%。经验证,分级联合评估为牵引变压器开展状态评估与检修策略制定提供新思路,体现了该模型及系统的可靠性和准确性。

To improve the maintenance capability of key traction power supply equipment,a traction transformer service health management system suitable for railways has been designed.The advantages of MATLAB in scientific calculation and C#in system interface development were complemented.The basic data ledger was established by using Mysql database and cloud server,and the state evaluation model of main transformer mechanism and experience was constructed by driving the historical test data of transformer in traction substation.The mechanism model adopts the analytic hierarchy process(AHP)-entropy weight method to determine the subjective and objective weights,chooses the cloud model to determine the membership degree of each index,and finally carries out fuzzy operation to get the appropriate comments.Principal component analysis-whale optimization algorithm-support vector machines(PCA-WOA-SVM)was selected for joint classification evaluation,and synthetic minority over-sampling technique(SMOTE)was to oversampling the dataset to balance the integrity of the sample.The results show that the recognition accuracy after dataset equalization is 96.67%,which is 5%higher than processing before.After verification,the hierarchical joint evaluation provides a new approach for conducting condition assessment and maintenance strategy formulation of traction transformers,reflecting the reliability and accuracy of the model and system.