| 基于遗传模糊神经网络的煤气鼓风机故障诊断 |
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| 引用本文： | 胡方霞,任艳君,陈兴龙.基于遗传模糊神经网络的煤气鼓风机故障诊断[J].计算机工程与设计,2008,29(23). |
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| 作者姓名： | 胡方霞 任艳君 陈兴龙 |
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| 作者单位： | 1. 重庆工商职业学院,工程技术系,重庆,400052
2. 重庆大学,机械工程学院,重庆,400044 |
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| 摘 要： | 为充分利用遗传算法的全局搜索能力和BP算法的局部搜索能力,提出了基于遗传算法的遗传模糊神经网络模型,研究了故障特征参数模糊化处理和利用遗传算法优化神经网络权重的方法,加快了网络收敛速度,提高了收敛精度.在煤气鼓风机故障诊断中的应用表明,遗传模糊神经网络克服了BP算法中存在的网络学习收敛速度慢,以及容易陷入局部极小的问题,有效提高了故障诊断的精度.
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| 关 键 词： | 煤气鼓风机 模糊处理 神经网络 遗传算法 故障诊断 |
Fault diagnosis method for gas blower based on genetic fuzzy neural network |
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| HU Fang-xia,REN Yan-jun,CHEN Xing-long.Fault diagnosis method for gas blower based on genetic fuzzy neural network[J].Computer Engineering and Design,2008,29(23). |
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| Authors: | HU Fang-xia REN Yan-jun CHEN Xing-long |
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| Affiliation: | HU Fang-xia1,REN Yan-jun1,CHEN Xing-long2(1.Department of Engineering Technology,Chongqing Technology , Business Institute,Chongqing 400052,China,2.College of Mechanical Engineering,Chongqing University,Chongqing 400044,China) |
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| Abstract: | In order to make full use of GA's global searching and BP network's local searching, a genetic fuzzy neural network model is proposed.And the way of fault characteristic parameters'fuzzy processing and optimizing the weights and thresholds of ANN by GA are studied.As a result, the convergent rate and convergent precision are greatly increased.Application to the fault diagnosis of a gas blower system shows the new model overcomes the low learning rate and local optima of BP algorithm, and the fault diagnosis... |
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| Keywords: | gas blower fuzzy processing neural network genetic algorithm fault diagnosis |
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