| 变速箱典型故障奇异性指数的模糊神经网络识别 |
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| 引用本文： | 陈时秋,韩建保,罗小江.变速箱典型故障奇异性指数的模糊神经网络识别[J].车辆与动力技术,2006(4):44-48. |
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| 作者姓名： | 陈时秋 韩建保 罗小江 |
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| 作者单位： | 北京理工大学,机械与车辆工程学院,北京,100081;北京理工大学,机械与车辆工程学院,北京,100081;北京理工大学,机械与车辆工程学院,北京,100081 |
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| 摘 要： | 基于小波奇异性分析和模糊神经网络理论,建立变速箱故障识别模型,探讨将两种理论集成用于状态监测以提高故障识别准确度.通过小波变换提取车辆变速箱运行状态监测数据的奇异性指数,并据此训练模糊神经网络,计算表征变速箱技术状况的代码,判断部件是否发生故障及故障类型.对某型车辆变速箱监测信号的研究表明,本模型用于识别变速箱典型故障的误差仅为0.15384.
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| 关 键 词： | 模糊神经网络 小波奇异性 变速箱 |
| 文章编号： | 1009-4687（2006）04-0044-05 |
| 收稿时间： | 2006-05-09 |
| 修稿时间： | 2006年5月9日 |
Singularity Index Identification of Vehicle Transmission Faults Based on the Fuzzy Neural Network |
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| CHEN Shi-qiu,HAN Jian-bao,LUO Xiao-jiang.Singularity Index Identification of Vehicle Transmission Faults Based on the Fuzzy Neural Network[J].Vehicle & Power Technology,2006(4):44-48. |
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| Authors: | CHEN Shi-qiu HAN Jian-bao LUO Xiao-jiang |
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| Abstract: | A vehicle transmission fault diagnosis method is presented based on the wavelet singularity and fuzzy neural network. This method integrates Wavelet and fuzzy neural network theory, uses wavelet to pick up the singularity index, designs and trains a fuzzy neural network to identify the transmission operation status. The result shows that the integration of wavelet and fuzzy neural network for identifying transmission operation status is feasible. |
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| Keywords: | transmission wavelet singularity fuzzy neural network fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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