摘要
模糊理论在电力设备故障诊断中有着广泛的应用。运用模糊关系矩阵，由输入或输出，可以得出相应的结论［１］。但是电力设备的故障诊断中存在着大量不确定因素，而模糊关系矩阵一般是由专家经验评估而来，造成人为因素影响甚大。模糊辨识技术是一种根据已知的输入和输出，辨识模糊模型的方法。用这种方法建模可以减少人为因素干扰，保证诊断的正确性。
Fuzzy set theory is widely utilized on fault diagnosis of power equipments. Fuzzy membership matrix helps us obtain the corresponding results from the input data or the output data. Since fuzzy membership matrix is usually depend on experts' expericnce. it is deeply affected by the man-made factors. Fuzzy model identification is an approach to determine fuzzy model which is based on the input-output data. This method can decrease the man-made influence and increase the correctness of fault diagnosis.
出处
《电力系统自动化》
EI
CSCD
北大核心
1996年第3期45-49,共5页
Automation of Electric Power Systems
