[1]梅宏斌.滚动轴承振动监测与诊断[M].北京:机械工业出版社,1996.
[2]唐贵基,王晓龙.基于包络谱稀疏度和最大相关峭度解卷积的滚动轴承早期故障诊断方法[J].中国机械工程,2015,26(11):1450-1456.
Tang Guiji, Wang Xiaolong. Diagnosis Method for Rolling Bearing Incipient Faults Based on Sparsity of Envelope Spectrum and Maximum Correlated Kurtosis Deconvolution[J]. China Mechanical Engineering, 2015,26(11):1450-1456.
[3]陈果.滚动轴承早期故障的特征提取与智能诊断[J].航空学报,2009,30(2):362-367.
Chen Guo.Feature Extraction and Intelligent Diagnosis for Ball Bearing Early Faults[J]. Acta Aeronautica et Astronautica Sinica,2009,30(2):362-367.
[4]Dwyer R F. Detection of Non-gaussian Signals by Frequency Domain Kurtosis Estimation[C]//IEEE International Conference on Acoustic, Speech and Signal Processing.Boston, 1983:607-610.
[5]Randall R B,Antoni J.Rolling Element Bearing Diagnostics—a Tutorial[J]. Mechanical System and Signal Processing, 2011, 25(2):485-520.
[6]Antoni N J. The Spectral Kurtosis: a Useful Tool for Characterizing Non-stationary Signals[J].Mechanical System and Signal Processing, 2006, 20(6):282-307.
[7]Antoni J, Randall R B. The Spectral Kurtosis: application to the Vibration Surveillance and Diagnostics of Rotating Machines[J]. Mechanical System and Signal Processing, 2006,20(6):308-331.
[8]Antoni J. Fast Computation of the Kurtogram for the Detection of Transient Faults[J]. Mechanical Systems and Signal Processing, 2007, 21(1):108-124.
[9]林京.连续小波变换及其在滚动轴承故障诊断中的应用[J].西安交通大学学报,1999,33(11):108-110.
Lin Jing. Continuous Wavelet Transform and Its Application for Bearing Diagnosis[J]. Journal of Xi'an Jiaotong University, 1999, 33(11):108-110.
[10]陈彬强,张周锁,訾艳阳,等. 机械故障诊断的衍生增强离散解析小波分析框架[J]. 机械工程学报,2014,50(17):77-86.
Chen Binqiang, Zhang Zhousuo, Zi Yangyang, et al. Novel Ensemble Analytic Discrete Framelet Expansion for Machinery Fault Diagnosis[J].Journal of Mechanical Engineering, 2014, 50(17):77-86.
[11]沈国际,陶利民,陈仲生. 多频信号经验模态分解的理论研究及应用[J]. 振动工程学报,2005,18(1):91-94.
Shen Guoji, Tao Limin, Chen Zhongsheng. Theoretical Research on Empirical Mode Decomposition of Multi-frequency Signal and Its Application[J]. Journal of Vibration Engineering, 2005, 18(1):91-94.
[12]蔡艳平,李艾华,石林锁,等.基于EMD与谱峭度的滚动轴承故障检测改进包络谱分析[J]. 振动与冲击,2011,30(2):167-172.
Cai Yanping, Li Aihua, Shi Linsuo, et al. Roller Bearing Fault Detection Using Improved Envelope Spectrum Analysis Based on EMD and Spetrum Kurtosis[J]. Journal of Vibration and Shock, 2011,30(2):167-172.
[13]张晓涛,唐力伟,王平,等.基于SVD与Fast kurtogram算法的滚动轴承声发射故障诊断[J]. 振动与冲击,2014,33(10):101-105.
Zhang Xiaotao, Tang Liwei, Wang Ping, et al. Acoustic Emission Fault Diagnosis of Rolling Bearing Based SVD and Fast Kurtogram Algorithm[J]. Journal of Vibration and Shock, 2014, 33(10):101-105.
[14]袁胜发,禇福磊.支持向量机及其在机械故障诊断中的应用[J]. 振动与冲击,2007,26(11):34-40.
Yuan Shengfa, Chu Fulei. Support Vector Machines and Its Applications in Machine Fault Diagnosis [J]. Journal of Vibration and Shock, 2007,26(11):34-40.
[15]郑近德,程军圣,胡思宇. 多尺度熵在转子故障诊断中的应用[J]. 振动、测试与诊断,2013,33(2):294-298.
Zheng Jinde, Cheng Junsheng, Hu Siyu. Rotor Fault Diagnosis Based on Multiscale Entropy[J]. Journal of Vibration, Measurement & Diagnosis, 2013,33(2):294-298.
[16]王宏超,陈进,董广明,等. 基于快速kurtogram算法的共振解调方法在滚动轴承故障特征提取中的应用[J]. 振动与冲击,2013, 32(1):35-37.
Wang Hongchao, Chen Jin, Dong Guangming, et al.Application of Resonance Demodulation in Rolling Bearing Fault Feature Extraction Based on Fast Computation of Kurtogram[J]. Journal of Vibration and Shock, 2013, 32(1):35-37.
[17]张晓涛,唐力伟,王平,等. 轴承故障声发射信号多频带共振解调方法[J]. 振动、测试与诊断,2015,35(2):363-368.
Zhang Xiaotao, Tang Liwei, Wang Ping, et al. Multi-band Resonance Demodulation of Rolling Bearing Fault Acoustic Emission Signal[J].Journal of Vibration, Measurement & Diagnosis, 2015,35(2):363-368.
[18]Barszcz T, Jablonski A. A Novel Method for the Optimal Band Selection for Vibration Signal Demodulation and Comparison with the Kurtogram[J]. Mechanical Systems and Signal Processing, 2011, 25(1):431-451.
[19]苏文胜. 滚动轴承振动信号处理及特征提取方法研究[D].大连:大连理工大学,2010.
[20]唐德尧,王定晓,杨政明,等. 共振解调技术与机车车辆传动装置故障诊断[J].电力机车技术,2002,25(5):1-5.
Tang Deyao, Wang Dingxiao,Yang Zhengming,et al. Demodulated Resonance Technique and Tailure Diagnosing of the Gearing on the Rolling Stock[J]. Technology for Electric Locomotives, 2002, 25(5):1-5.
[21]周智,朱永生,张优云,等. 基于EEMD和共振解调的滚动轴承自适应故障诊断[J]. 振动与冲击,2013,32(2):76-80.
Zhou Zhi, Zhu Yongsheng, Zhang Youyun, et al.Adaptive Fault Diagnosis of Rolling Bearings Based on EEMD and Demodulated Resonance[J].Journal of Vibration and Shock, 2013, 32(2):76-80.
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