基于D-S证据理论的城市轨道交通车辆车门亚健康融合诊断方法
史华东1,2陆宁云1,2许志兴2陈健飞2
Urban Rail Transit Vehicle Door Sub-health Fusion Diagnosis Method Based on D-S Evidence Theory
SHI HuadongLU NingyuXU ZhixingCHEN Jianfei
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作者信息:1.南京航空航天大学自动化学院， 211106， 南京;
2.南京康尼机电股份有限公司， 211106， 南京
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Affiliation:College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, 211106, Nanjing, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2022.06.012
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中图分类号/CLCN:U270.38+.6; U279.3+23
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栏目/Col:研究报告
摘要:
为了实现城市轨道交通车辆车门亚健康状态的精确诊断，提出基于D-S证据理论的车门亚健康融合诊断方法。根据车门驱动电机数据与门控器的I/O信号数据，分别运用K-means聚类与贝叶斯分类的方法构建车门亚健康初步诊断模型；引入D-S证据融合理论进行决策层的信息融合，得到更加准确的亚健康诊断模型。应用结果表明，该方法可显著提高车门亚健康诊断模型的准确性和可靠性。
Abstracts:
In order to realize accurate diagnosis of the sub-health status of urban rail transit vehicle door, a method for vehicle door sub-health fusion diagnosis method based on D-S evidence theory is proposed. Based on the door drive motor data and the I/O signal data of the door controller, K-means clustering and Bayesian classification are respectively used to construct a preliminary diagnosis model of door sub-health; D-S evidence fusion theory is introduced for information fusion at decision-making level, to obtain a more accurate sub-health diagnostic model. Application results show that the method can significantly improve the accuracy and reliability of the vehicle door sub-health diagnosis model.
引文 / Ref:
史华东, 陆宁云, 许志兴, 等. 基于D-S证据理论的城市轨道交通车辆车门亚健康融合诊断方法. 城市轨道交通研究, 2022, 25(6): 58.
SHI Huadong, LU Ningyu, XU Zhixing. Urban Rail Transit Vehicle Door Sub-health Fusion Diagnosis Method Based on D-S Evidence Theory. Urban Mass Transit, 2022, 25(6): 58.
SHI Huadong, LU Ningyu, XU Zhixing. Urban Rail Transit Vehicle Door Sub-health Fusion Diagnosis Method Based on D-S Evidence Theory. Urban Mass Transit, 2022, 25(6): 58.
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