混杂系统理论及其在三相逆变电路开路故障诊断中的应用
发布时间：2018-10-30 09:25
【摘要】：针对基于事件辨识的故障诊断方法难以用于离散事件较多的电力电子电路这一问题,文章建立了电力电子电路的混合逻辑动态模型,将电路运行抽象为离散事件的变迁,并根据电路的故障模式确定电路的故障事件集和故障模型。文章应用了故障事件识别向量的概念,基于电路的故障模型仅通过对电路故障事件的辨识实现故障诊断,具有实现简单、通用性好、诊断效果可靠的优点,以逆变电路故障诊断的仿真和实验验证了所提方法的可行性和有效性。
[Abstract]:In order to solve the problem that the fault diagnosis method based on event identification is difficult to be used in power electronic circuits with more discrete events, a hybrid logic dynamic model of power electronic circuits is established in this paper, which abstracts the circuit operation into the transition of discrete events. The fault event set and fault model of the circuit are determined according to the fault mode of the circuit. The concept of fault event recognition vector is applied in this paper. The fault model based on circuit realizes fault diagnosis only by identifying circuit fault events. It has the advantages of simple realization, good generality and reliable diagnosis effect. The feasibility and effectiveness of the proposed method are verified by simulation and experiment of inverter circuit fault diagnosis.
【作者单位】： 空军工程大学航空航天工程学院;西安富士达科技股份有限公司;
【基金】：国家自然科学基金资助项目(61074007)
【分类号】：TM464
[Abstract]:In order to solve the problem that the fault diagnosis method based on event identification is difficult to be used in power electronic circuits with more discrete events, a hybrid logic dynamic model of power electronic circuits is established in this paper, which abstracts the circuit operation into the transition of discrete events. The fault event set and fault model of the circuit are determined according to the fault mode of the circuit. The concept of fault event recognition vector is applied in this paper. The fault model based on circuit realizes fault diagnosis only by identifying circuit fault events. It has the advantages of simple realization, good generality and reliable diagnosis effect. The feasibility and effectiveness of the proposed method are verified by simulation and experiment of inverter circuit fault diagnosis.
【作者单位】： 空军工程大学航空航天工程学院;西安富士达科技股份有限公司;
【基金】：国家自然科学基金资助项目(61074007)
【分类号】：TM464
【参考文献】
相关期刊论文 前4条
1 李琼林;刘会金;宋晓凯;王t，
本文编号：2299608
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