| 基于LabVIEW的局域均值分解方法及其在列车轴承故障诊断中的应用 |
| LMD Method Based on LabVIEW and Its Application to Fault Diagnosis of Train Bearing |
| 投稿时间：2013-03-06 |
| 中文关键词:LabVIEW 局域均值分解 故障诊断 |
| 英文关键词:LabVIEW LMD fault diagnosis |
| 基金项目:国家重点基础研究发展计划（973计划）(2012CB723301);国家自然科学基金(11227201;11202141;11172182);铁道部重点项目(2011J013 A);河北省自然科学基金(A2013210013);河北省教育厅项目(Z2011228;zh2011215) |
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| 中文摘要: |
| 列车轴承故障诊断是保证铁路运营安全的重要手段，轴承振动信号的处理方法是实现故障诊断的关键。局域均值分解方法是一种自适应的信号处理方法，对于非线性非平稳信号的解调具有良好的性能。利用在测试测量领域广泛使用的LabVIEW进行了局域均值分解方法的编程，将该方法与虚拟仪器技术结合搭建了一套高速、可靠、可移植性强的系统，通过仿真信号和轮对实验的验证，证明该方法适用于工程实践。 |
| 英文摘要: |
| Fault diagnosis of train bearing is an important method to ensure the security of railway. The key to the fault diagnosis is the method of signal processing. The local mean decomposition (LMD) is a self adapted signal processing method with a good performance in nonlinear nonstationary signal processing. Programming with LabVIEW, which is widely used in measurement, the LMD method is achieved , building a high speed, reliable and portable system combined with LMD and virtual instrument technology. With the verification of simulation and wheel set experiment, the improvement method is verified useful in practical application. |
| 王鹏,李晓亮.基于LabVIEW的局域均值分解方法及其在列车轴承故障诊断中的应用[J].石家庄铁道大学学报(自然科学版),2013,(3):57-60. |
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