Detection of cracks in shafts with the Approximated Entropy algorithm
暂无分享,去创建一个
[1] A. S. Sekhar. Detection and monitoring of crack in a coast-down rotor supported on fluid film bearings , 2004 .
[2] Ki H. Chon,et al. Automatic Selection of the Threshold Value $r$ for Approximate Entropy , 2008, IEEE Transactions on Biomedical Engineering.
[3] L. Fu,et al. Approximate entropy and its application to fault detection and identification in power swing , 2009, 2009 IEEE Power & Energy Society General Meeting.
[4] Chong-Won Lee,et al. MODELLING AND VIBRATION ANALYSIS OF A SIMPLE ROTOR WITH A BREATHING CRACK , 1992 .
[5] Andrea Caumo,et al. Approximate entropy of respiratory patterns in panic disorder. , 2004, The American journal of psychiatry.
[6] Eiji Shimizu,et al. Approximate Entropy of the Electroencephalogram in Healthy Awake Subjects and Absence Epilepsy Patients , 2005, Clinical EEG and neuroscience.
[7] H. Baruh,et al. ON-LINE IDENTIFICATION AND LOCATION OF ROTOR CRACKS , 1996 .
[8] Fulei Chu,et al. Shaft crack identification based on vibration and AE signals , 2011 .
[9] Eric A. Butcher,et al. New breathing functions for the transverse breathing crack of the cracked rotor system: Approach for critical and subcritical harmonic analysis , 2011 .
[10] A. S. Sekhar,et al. Condition monitoring of cracked rotors through transient response , 1998 .
[11] A L Goldberger,et al. Physiological time-series analysis: what does regularity quantify? , 1994, The American journal of physiology.
[12] Nathaniel H. Hunt,et al. The Appropriate Use of Approximate Entropy and Sample Entropy with Short Data Sets , 2012, Annals of Biomedical Engineering.
[13] H. Ocak,et al. Determining bearing faults using wavelet and approximate entropy , 2008, 2008 IEEE 16th Signal Processing, Communication and Applications Conference.
[14] Anoop Chawla,et al. Transient response and breathing behaviour of a cracked Jeffcott rotor , 2004 .
[15] Jose Alvarez-Ramirez,et al. Identification of dynamic instabilities in machining process using the approximate entropy method , 2011 .
[16] Fulei Chu,et al. RETRACTED: Using genetic algorithms to detect and configure shaft crack for rotor-bearing system , 2001 .
[17] F. Chu,et al. Using genetic algorithms and finite element methods to detect shaft crack for rotor-bearing system , 2001 .
[18] S M Pincus,et al. Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[19] C. Lee,et al. Crack Detection in Rotating Machinery by Modal Testing , 2000 .
[20] Tong Zhou,et al. Experimental Analysis of Cracked Rotor , 2005 .
[21] Robert X. Gao,et al. Mechanical Systems and Signal Processing Approximate Entropy as a Diagnostic Tool for Machine Health Monitoring , 2006 .
[22] R. Gordon Kirk,et al. Cracked shaft detection and diagnostics: A literature review , 2004 .
[23] Lin Liang,et al. Quantitative diagnosis of a spall-like fault of a rolling element bearing by empirical mode decomposition and the approximate entropy method , 2013 .
[24] Andrew D. Dimarogonas,et al. Vibration of cracked structures: A state of the art review , 1996 .
[25] Yongyong He,et al. Approximate Entropy Analysis of the Acoustic Emission From Defects in Rolling Element Bearings , 2012 .
[26] Vikas Rastogi,et al. A Brief Review on Dynamics of a Cracked Rotor , 2009 .
[27] Athanasios Chasalevris,et al. Applying neural networks, genetic algorithms and fuzzy logic for the identification of cracks in shafts by using coupled response measurements , 2008 .
[28] C. A. Papadopoulos,et al. Crack identification in rotating shafts by coupled response measurements , 2002 .
[29] J Chen,et al. Application of the Wigner-Ville distribution to identification of a cracked rotor , 2003 .