针对轴承振动信号的非线性, 非平稳性, 提出一种基于多尺度本征模态排列熵和模拟退火优化
支持向量机(Simulated annealing-support vector machine, SA-SVM) 的列车轴承故障诊断方法 …

针对机械类信号在齿轮泵故障识别与诊断中存在的信号获取成本高, 信噪比低,
故障特征不易获取等问题, 提出一种基于电机电流信号的液压齿轮泵故障识别方法 …

提出了一种变分模态分解消噪与核模糊C 均值聚类相结合的滚动轴承故障识别方法. 首先,
对实测振动信号进行处理, 得到VMD 的参数; 然后, 对信号进行VMD 分解 …

The vibration signals resulting from rolling bearings are non-linear and non-stationary, an
approach for the fault diagnosis of railway rolling bearings using the multi-scale IMF …

[目的] 针对滚动轴承故障信号非线性, 非平稳特征导致的故障特征频率难以提取的问题,
提出了一种基于改进的带有自适应白噪声的完全集合经验模态分解(ICEEMDAN) …

In the fault identification and diagnosis of gear pump, mechanical signals have such
problems as high signal acquisition cost, low signal-to-noise ratio and difficulty in obtaining …