| 基于神经网络技术和小波分析的发动机
气缸气密性能检测研究 |
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| 引用本文： | 沈寿林 彭顺堂张英堂 郑海起.基于神经网络技术和小波分析的发动机
气缸气密性能检测研究[J].军械工程学院学报,2000,12(2):36-39. |
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| 作者姓名： | 沈寿林 彭顺堂张英堂 郑海起 |
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| 作者单位： | 军械工程学院火炮工程系!石家庄050003(沈寿林，张英堂，郑海起)，52966部队修理所!石家庄050081(彭顺堂) |
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| 摘 要： | 提出了一种基于小波分析和神经网络技术检测发动机气缸气密性能的新方法。对电涡流位移传感器拾取的飞轮位移信号直接进行时域采样 ,通过处理和小波分析 ,获得反映发动机启动瞬时转速尺度参数 ,BP神经网络以此作为输入向量 ,从而有效地检测发动机气缸气密性能。
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| 关 键 词： | 发动机 故障诊断 神经网络 小波分析 瞬时转速 |
| 修稿时间： | 1999-11-05 |
APPLICATION OF WAVELET ANALYSIS AND NEURAL NETWORKS TO MONITOR THE AIRTIGHT PERFORMANCE OF DIESEL |
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| SHEN,Shou-lin.APPLICATION OF WAVELET ANALYSIS AND NEURAL NETWORKS TO MONITOR THE AIRTIGHT PERFORMANCE OF DIESEL[J].Journal of Ordnance Engineering College,2000,12(2):36-39. |
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| Authors: | SHEN Shou-lin |
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| Abstract: | A unique technique has been developed for monitoring the airtight performance of diesels by wavelet-transform of flywheel speed fluctuations and neural networks.The speed fluctuation signal is simply measured with an eddy displaceing sensor opposite the fly wheel gear teeth.The scale feature is got by analysing the software and the wavelet-transform which can be used in monitoring the airtight performance of the diesel validly by inputing vector of BP neural works. |
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| Keywords: | diesel engine faults diagnosis neural networks wavelet analysis instantaneous speed |
| 本文献已被 CNKI 维普 等数据库收录！ |
