机译:基于提升小波包分解和模糊c均值的轴承性能退化评估
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, No. 800, Dongchuan Rd, Shanghai 200240, PR China;
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, No. 800, Dongchuan Rd, Shanghai 200240, PR China;
State Testing Laboratory of Hangzhou Bearing Test & Research Center, No. 333, Huafeng Rd, Hangzhou 310022, PR China;
performance degradation assessment; lifting wavelet packet decomposition; fuzzy c-means;
机译:基于提升小波包符号熵和SVDD的轴承性能退化评估
机译:基于信息理论度量学习和模糊C型聚类的轴承性能下降评估
机译:基于支持向量数据描述和模糊c均值的轴承性能退化评估混合模型
机译:基于小波分组分解的旋转机械故障分类及降解评估
机译:通过定子电流的小波包分解检测轴承损坏。
机译:基于非线性冗余提升小波包分析的滚动轴承故障诊断
机译:基于改进的经验模拟分解和模糊C型算法的滚动轴承故障诊断