| 基于小波神经网络弧齿锥齿轮故障诊断及实验研究 |
| |
| 引用本文： | 扶碧波,方宗德,沈云波. 基于小波神经网络弧齿锥齿轮故障诊断及实验研究[J]. 机械传动, 2011, 35(12): 66-69 |
| |
| 作者姓名： | 扶碧波 方宗德 沈云波 |
| |
| 作者单位： | 1. 西北工业大学机电学院,陕西西安,710072
2. 西安工业大学机电工程学院,陕西西安,710032 |
| |
| 摘 要： | 提出了一种离散小波变换结合神经网络的故障状态识别方法,运用信号特征提取机理对航空用弧齿锥齿轮故障诊断及状态识别进行了研究.建立了孤齿锥齿轮传动系统振动测试试验台,对正常结构和故障结构的齿轮传动进行了试验测试,通过小波阈值去除掉齿轮箱的振动数据信号系统噪声的影响；采用离散小波变换提取信号的能量特征,利用带有反馈算法的神经...
|
| 关 键 词： | 故障诊断 小波变换 神经网络 |
Study on Spiral Bevel Gear Fault Diagnosis based on Artificial Neural Networks and Wavelet Transform Technique |
| |
| Fu Bibo,Fang Zongde,Shen Yunbo. Study on Spiral Bevel Gear Fault Diagnosis based on Artificial Neural Networks and Wavelet Transform Technique[J]. Journal of Mechanical Transmission, 2011, 35(12): 66-69 |
| |
| Authors: | Fu Bibo Fang Zongde Shen Yunbo |
| |
| Affiliation: | Fu Bibo1 Fang Zongde1 Shen Yunbo2(1 School of Mechanical and Electronical Engineering,Northwest Polytechnical Unversity,Xi'an 710072,China)(2 School of Mechatronic Engineering,Xi'an Technological Unversity,Xi'an 710032,China) |
| |
| Abstract: | A fault diagnosis method of discrete wavelet transform and neural networks is proposed,by using signal feature extraction mechanism,aviation spiral bevel gear fault diagnosis and state recognition is studied.A test rig of spiral bevel gear system vibration testing is built,the testing of normal and defective gear transmission is carried out.The influence of noise on gearbox vibration data signal system is removed through the wavelet threshold.By using discrete wavelet transform,the signal energy features is... |
| |
| Keywords: | Fault diagnosis Wavelet transform Neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
