微型电脑应用2025，Vol.41Issue(4)：216-219,4.
基于贝叶斯网络推理算法的智能回路电阻测试仪示值误差持续校正模型
Continuous Correction Model of Indication Error of Intelligent Circuit Resistance Tester Based on Bayesian Network Inference Algorithm
杨庆华 1汤德宝 1杨珺东 1崔海磊1
作者信息
- 1. 国网江苏省电力有限公司泰州供电分公司,江苏,泰州 225300
- 折叠
摘要
Abstract
The continuous correction model of the indication error of intelligent circuit resistance tester based on Bayesian net-work reasoning algorithm is studied to obtain the actual resistance of the measured object and maintain the normal operation of the power system.Based on the working principle of the intelligent circuit resistance tester,the Bayesian network for the indi-cation error reasoning of the intelligent circuit resistance tester is constructed.It takes the node with the highest error probabil-ity as the error node for continuous correction,and by continuously correcting this error node,obtains the continuous correction result for the indication error of the intelligent circuit resistance tester with the smallest deviation.The experimental results show that the model can accurately infer error nodes and obtain the causes of errors by using Bayesian network inference algo-rithm.When the decomposition level is 3,the correction result is closest to the actual resistance value.The resistance tester has good stability in correcting display error.关键词
贝叶斯网络/回路电阻测试仪/示值误差/持续校正模型Key words
Bayesian network/circuit resistance tester/indication error/continuous correction model分类
信息技术与安全科学引用本文复制引用
杨庆华,汤德宝,杨珺东,崔海磊..基于贝叶斯网络推理算法的智能回路电阻测试仪示值误差持续校正模型[J].微型电脑应用,2025,41(4):216-219,4.
