| 基于声强信号分析和组合神经网络的发动机故障诊断 |
| |
| 引用本文： | 李增芳,何勇,徐高欢. 基于声强信号分析和组合神经网络的发动机故障诊断[J]. 农业机械学报, 2008, 39(12): 170-173 |
| |
| 作者姓名： | 李增芳 何勇 徐高欢 |
| |
| 作者单位： | 1. 浙江水利水电专科学校机电工程系,310018,杭州市
2. 浙江大学生物系统工程与食品科学学院,310029,杭州市 |
| |
| 基金项目： | 浙江省自然科学基金资助项目(项目编号:Y104616); 浙江省水利厅资助项目(项目编号:RC0614) |
| |
| 摘 要： | 建立了一个基于声强信号分析和组合神经网络的发动机故障诊断模型。该模型首先运用小波理论分析各类故障下发动机产生的声强信号，获取反映发动机工作状态的频带特征向量，然后将特征向量用于组合神经网络训练，进行故障模式识别。通过对3Y丰田2．0发动机的试验数据分析表明，这种模型可有效提高故障诊断的效率和准确率。
|
| 关 键 词： | 发动机 故障诊断 小波包分析 组合神经网络 声强信号 |
Engine Fault Diagnosis Model Based on Sound Intensity Analysis and Neural Network Integration |
| |
| Li Zengfang,He Yong,Xu Gaohuan. Engine Fault Diagnosis Model Based on Sound Intensity Analysis and Neural Network Integration[J]. Transactions of the Chinese Society for Agricultural Machinery, 2008, 39(12): 170-173 |
| |
| Authors: | Li Zengfang He Yong Xu Gaohuan |
| |
| Abstract: | A new engine fault diagnosis model based on sound intensity signal and BP neural network integration was proposed.Firstly,the sound intensity signals were decomposed and recomposed by using wavelet packets.Afterwards,the signal energy values were extracted from each frequency band,and were used as input features into the BP neural network integration for fault pattern recognition.It has been testified by the experimentation of the 3Y Toyota 2.0 engine and the results showed that it could increase the effici... |
| |
| Keywords: | Engine Fault diagnosis Wavelet packet Neural network integration Sound intensity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《农业机械学报》浏览原始摘要信息 |
|
点击此处可从《农业机械学报》下载全文 |
