节点文献
电力变压器状态检测中复合推理方法的研究
RESEARCH ON MULTI REASONING METHOD IN POWER TRANSFORMER RUNNING STATE DETECTION
【摘要】 本文在对电力系统的特点进行深入研究后,提出了基于分类框架推理技术、模糊推理技术、神经网络技术以及事例推理技术的复合推理方法,并将其应用于电力变压器状态检测。试用表明,复合推理方法比传统的单一推理方法具有更高的准确性和灵活性,并且可以在类似故障诊断领域中推广使用。
【Abstract】 In this paper, the characteristic of power ’system is deeply researched, and a multi-reasoning method based on classical frame, fuzzy technique, neural network and case based reasoning is proposed and applied to power transformer running state detection. Probation shows that this method is more accurate and flexible than traditional sole reasoning methods, and could be generalized in similar fault diagonosis fields.
【关键词】 分类框架;
神经网络;
模糊技术;
事例推理;
电力变压器;
故障诊断;
【Key words】 Classical Frame; Neural Network; Fuzzy Technique; Case-Based Reasoning; Power Transformer; Fault Diagnosis;
【Key words】 Classical Frame; Neural Network; Fuzzy Technique; Case-Based Reasoning; Power Transformer; Fault Diagnosis;
【基金】 国家自然科学基金;江苏省自然科学基金
- 【文献出处】 模式识别与人工智能 ,Pattern Recognition and Artificial Intelligence , 编辑部邮箱 ,2000年02期
- 【分类号】TM41;TP18
- 【被引频次】9
- 【下载频次】95