| 尚雪梅,徐远纲.PSO 优化的最大峭度熵反褶积齿轮箱故障诊断[J].电子测量与仪器学报,2020,34(7):64-72 |
| PSO 优化的最大峭度熵反褶积齿轮箱故障诊断 |
| Maximum kurtosis entropy deconvolution gearbox fault diagnosis based on PSO |
| |
| DOI： |
| 中文关键词: 齿轮箱 粒子群优化算法 最大峭度熵反褶积 信号提取 故障诊断 |
| 英文关键词:gearbox particle swarm optimization algorithm maximum kurtosis entropy deconvolution signal extraction fault diagnosis |
| 基金项目:国家自然科学基金(51875445)资助项目 |
|
|
|
|
| 摘要点击次数: 426 |
| 全文下载次数: 459 |
| 中文摘要: |
| 考虑到最小熵反褶积只对单一的异常振动信号很敏感,而且,滤波器的长度需要人工调控,提出了一种最大峭度熵反褶
积方法,并将其应用于轴承故障诊断。 考虑峭度熵具有突出连续冲击振荡的优点,选择峭度熵作为反褶积的目标函数。 同时,
利用峭度熵作为改进的局部粒子群优化算法的适应度函数,利用局部粒子群优化滤波器长度,使最大峭度熵反褶积在解卷积时
自适应地调整滤波器长度,从而能够准确地提取出连续的脉冲信号。 实验分析结果验证了该方法能够更加有效的提取连续脉
冲信号的能力,提升了故障诊断的精度。 |
| 英文摘要: |
| Considering that the minimum entropy deconvolution (MED) was only sensitive to a single abnormal vibration signal, and the
length of the filter needed to be adjusted manually, a maximum kurtosis entropy deconvolution (MKSED) method was proposed and
applied to bearing fault diagnosis. Considering that kurtosis entropy has the advantage of continuous shock oscillation, kurtosis entropy
was chosen as the objective function of deconvolution. At the same time, kurtosis entropy was used as the fitness function of the improved
local particle swarm optimization algorithm (LPSO), and LPSO was used to optimize the filter length, so that MKSED can adaptively
adjust the filter length when deconvolution, so as to accurately extract the continuous pulse signal. The experimental results show that the
method can extract continuous pulse signal more effectively and improve the accuracy of fault diagnosis. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
