[1]褚福磊. 机械故障诊断中的现代信号处理方法[M].北京:科学出版社, 2009:165-170.
CHU Fulei. Mechanical Fault Diagnosis of Modern Signal Processing Methods[M].Beijing:Science Press, 2009:165-170.
[2]李继猛, 张云刚, 张金凤,等. 基于自适应随机共振的齿轮微弱冲击故障信号增强提取方法研究[J].计量学报, 2017, 38(5):602-606.
LI Jimeng,ZHANG Yungang,ZHANG Jinfeng,et al. Fault Diagnosis of Gears Based on Adaptive Stochastic Resonance and Sparse code Shrinkage Algorithm [J]. Acta Metrologica Sinica, 2017, 38(5):602-606.
[3]陈世平, 王振忠, 俞辉,等. 改进小波包多阈值去噪法及其工程应用[J].中国机械工程, 2017, 28(20):2414-2419.
CHEN Shiping,WANG Zhenzhong,YU Hui,et al. Improved Wavelet Packet Multi Threshold Denoising Method and Its Engineering Applications[J].China Mechanical Engineering, 2017, 28(20):2414-2419.
[4]WU Lijun, CHEN Xiaogang, PENG Yi, et al. Fault Detection and Diagnosis Based on Sparse Representation Classification (SRC)[C]∥IEEE International Conference on Robotics and Biomimetics. Guangzhou, 2013:926-931.
[5]江国乾, 谢平, 王霄, 等. 基于排序模式相异性分析的轴承健康监测[J]. 中国机械工程, 2017, 28(6):714-720.
JIANG Guoqian, XIE Ping, WANG Xiao, et al. Bearing Health Monitoring Based on Ordinal Pattern Dissimilarity Analysis[J].China Mechanical Engineering,2017, 28(6):714-720.
[6]张文义, 于德介, 陈向民. 基于信号共振稀疏分解与能量算子解调的轴承故障诊断方法[J]. 中国电机工程学报, 2013, 33(20):111-118.
ZHANG Wenyi, YU Dejie, CHEN Xiangmin. Fault Diagnosis of Rolling Bearings Based on Resonance-based Sparse Signal Decomposition and Energy Operator Demodulating[J]. Proceedings of the CSEE, 2013, 33(20):111-118.
[7]贺王鹏,訾艳阳,陈彬强.冲击特征受控极小化通用稀疏表示及其在机械故障诊断中的应用[J].西安交通大学学报,2016,50(4):94-99.
HE Wangpeng, ZI Yanyang, CHEN Binqiang. Majorization Minimization Oriented Sparse Optimization Method for Feature Extraction Technique in Machinery Fault Diagnosis[J].Journal of Xi'an Jiaotong University, 2016,50(4):94-99.
[8]SELESNICK I W. Resonance-based Signal Decomposition:a New Sparsity-enabled Signal Analysis Method[J]. Signal Processing, 2011, 91(12):2793-2809.
[9]陈向民, 于德介, 罗洁思. 基于信号共振稀疏分解的转子早期碰摩故障诊断方法[J].中国机械工程, 2013, 24(1):35-41.
CHEN Xiangmin, YU Diejie, LUO Jiesi. Early Rub-impact Diagnosis of Rotors by Using Resonance-based Sparse Signal Decomposition[J]. China Mechanical Engineering, 2013, 24(1):35-41.
[10]李星, 于德介, 张顶成. 基于最优品质因子信号共振稀疏分解的滚动轴承故障诊断[J]. 振动工程学报, 2015, 28(6):998-1005.
LI Xing, YU Dejie, ZHANG Dingcheng. Fault Diagnosis of Rolling Bearings Based on the Resonance-based Sparse Signal Decomposition with Optimal Q-Factor[J]. Journal of Vibration Engineering,2015,28(6):998-1005.
[11]MCDONALD G L, ZHAO Q, ZUO M J. Maximum Correlated Kurtosis Deconvolution and Application on Gear Tooth Chip Fault Detection [J]. Mechanical Systems & Signal Processing, 2012, 33(1):237-255.
[12]SELESNICKI W. Wavelet Transform with Tunable Q-factor[J]. IEEE Transactions on Signal Processing, 2011, 59(8):3560-3575. |