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Received:July 04, 2011
Received:July 04, 2011
中文摘要: 针对凝汽器故障的特点,提出了基于模糊神经网络的故障诊断方法.模糊神经网络是模糊系统与神经网络相结合的产物,它利用两者的长处,提高了整个系统的学习能力和表达能力,既具有学习、联想、自适应性,又能进行模糊推理.仿真结果表明,所提出的诊断方法能有效地诊断凝汽器故障,且具有良好的应用前景.
Abstract:A fault diagnosis method based on fuzzy neural network is presented for the condenser.The fuzzy neural network is based on the fuzzy theory and neural network，while having the advantages of both，which can improve the whole system of learning ability and skills.It not only has the ability of learning，association，self-adaptation，but also the fuzzy reasoning.The simulation results show that the proposed method can effectively diagnose the fault of the condenser，and has good application prospects.
keywords: fuzzy neural network condenser fault diagnosis
文章编号：20110618 中图分类号： 文献标志码：
基金项目:上海市“创新行动计划”部分地方院校能力建设专项(10250502000);上海市教育委员会重点学科建设项目(J51301)
| Author Name | Affiliation | |
| XU Chun-mei | School of Electric Power and Automation Engineering, ShanghaiUniversity of Electric Power, Shanghai 200090, China | chunmeixu@yeah.net |
| Author Name | Affiliation | |
| XU Chun-mei | School of Electric Power and Automation Engineering, ShanghaiUniversity of Electric Power, Shanghai 200090, China | chunmeixu@yeah.net |
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