| 基于模糊神经网络的铝电解槽工作状态诊断 |
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| 引用本文： | 李贺松,梅炽,唐骞,周乃君,黄涌波,张家奇.基于模糊神经网络的铝电解槽工作状态诊断[J].系统仿真学报,2006,18(2):482-484. |
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| 作者姓名： | 李贺松 梅炽 唐骞 周乃君 黄涌波 张家奇 |
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| 作者单位： | 1. 中南大学,能源与动力工程学院,长沙,410083
2. 中铝公司广西分公司电解厂,广西,531400 |
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| 摘 要： | 针对铝电解槽电压波动信号的频谱特点和工作状态的层次性,将小波理论和模糊逻辑理论引入高阶BP神经网络中,提出了一种基于小波高阶模糊神经网络的铝电解槽工作状态诊断模型,此模型运用串联方式将小波包分析、模糊逻辑和神经网络融合在一起。给出了小波高阶模糊神经网络的结构,确定了各模糊子集上的隶属度函数。并在320KA预焙铝电解槽上进行实验和仿真,理论和实验证明了该诊断方法可行性。
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| 关 键 词： | 铝电解槽 工作状态 高阶 模糊神经网络 隶属度函数 小波包 |
| 文章编号： | 1004-731X（2006）02-0482-03 |
| 收稿时间： | 2004-12-10 |
| 修稿时间： | 2005-11-08 |
Diagnosis of Working Conditions of Aluminum Reduction Cells Based on Fuzzy Neural Network |
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| LI He-song,MEI Chi,TANG Qian,ZHOU Nai-jun,HUANG Yong-bo,ZHANG Jia-qi.Diagnosis of Working Conditions of Aluminum Reduction Cells Based on Fuzzy Neural Network[J].Journal of System Simulation,2006,18(2):482-484. |
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| Authors: | LI He-song MEI Chi TANG Qian ZHOU Nai-jun HUANG Yong-bo ZHANG Jia-qi |
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| Institution: | 1 .Energy and Power Engineering School, Central South University, Changsha 410083, China; 2 Aluminum Electrolytic Plants, Guangxi Branch of China Aluminum Co, Guangxi 531400, China |
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| Abstract: | The wavelet and fuzzy theory were introduced into high-order BP Neural Network according to the frequency spectrum characteristics of voltage vibration signal and arrangement of working conditions.Diagnosis model of working conditions of aluminum reduction cells were developed based on the wavelet high-order fuzzy neural network which integrated the three promising technologies: wavelet transform,artificial neural network s(ANNs) and fuzzy logic.The structure of FNN was given and the membership function was developed according to the actual situation.All simulated reasons of working conditions were emulated on 320KA prebaked aluminum reduction cells.The feasibility of this novel method is proved by the simulation results. |
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| Keywords: | aluminum reduction cells working conditions high-order fuzzy neural network membership function wavelet packet |
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