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投稿时间：1999-11-01
投稿时间：1999-11-01
中文摘要: 介绍了人工智能（AI）在当前变压器故障诊断方面的开发和应用.并用具体实例说明专家系统和人工神经网络对运行中的变压器内部潜伏性故障进行早期诊断的可行性和有效性．
Abstract:This paper introduces the artificial intelligence (AI) method, describes its development and application in transformer fault diagnosis. Some practical examples demonstrate the feasibility and effectivity of AI for primary diagnosis of transformer early hidden faults.
keywords: artificial intelligence transformer fault diagnosis expert system artificial neural network
文章编号：20000202 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| Yang Qiping | Department of Electric Power Engineering |
| Wang Luyang | Department of Electric Power Engineering |
引用文本：
杨启平,王鲁杨.变压器故障诊断的人工智能法[J].上海电力大学学报,2000,16(2):7-11.
Yang Qiping,Wang Luyang.Artificial Intelligence Method for Transformer Fault Diagnosis[J].Journal of Shanghai University of Electric Power,2000,16(2):7-11.
杨启平,王鲁杨.变压器故障诊断的人工智能法[J].上海电力大学学报,2000,16(2):7-11.
Yang Qiping,Wang Luyang.Artificial Intelligence Method for Transformer Fault Diagnosis[J].Journal of Shanghai University of Electric Power,2000,16(2):7-11.