On the Use of Spectral Averaging of Acoustic Emission Signals for Bearing Fault Diagnostics

[1]  David He,et al.  Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study , 2014, Sensors.

[2]  Yi Zhang,et al.  A Joint Kurtosis-Based Adaptive Bandstop Filtering and Iterative Autocorrelation Approach to Bearing Fault Detection , 2013 .

[3]  David He,et al.  Processing for improved spectral analysis , 2013 .

[4]  Fanrang Kong,et al.  Rolling Bearing Localized Defect Evaluation by Multiscale Signature via Empirical Mode Decomposition , 2012 .

[5]  Yongyong He,et al.  Approximate Entropy Analysis of the Acoustic Emission From Defects in Rolling Element Bearings , 2012 .

[6]  Karl Nienhaus,et al.  Development of Acoustic Emission (AE) based defect parameters for slow rotating roller bearings , 2012 .

[7]  Jay Lee,et al.  Novel method for rolling element bearing health assessment—A tachometer-less synchronously averaged envelope feature extraction technique , 2012 .

[8]  Karthik Kappaganthu,et al.  Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information , 2011 .

[9]  Ruoyu Li,et al.  Data Mining Based Full Ceramic Bearing Fault Diagnostic System Using AE Sensors , 2011, IEEE Transactions on Neural Networks.

[10]  Zhigang Wang,et al.  A New Low-Frequency Resonance Sensor for Low Speed Roller Bearing Monitoring , 2010 .

[11]  Michael I. Friswell,et al.  Defect Diagnosis for Rolling Element Bearings Using Acoustic , 2009 .

[12]  Robert X. Gao,et al.  Experimental Evaluation of a Unified Time-Scale-Frequency Technique for Bearing Defect Feature Extraction , 2009 .

[13]  Dou Wei,et al.  Genetic Integration of Different Diagnosis Methods and/or Fault Features for Improvement of Diagnosis Accuracy , 2009 .

[14]  Eric Bechhoefer,et al.  A Review of Time Synchronous Average Algorithms , 2009 .

[15]  Yaguo Lei,et al.  Application of a Novel Hybrid Intelligent Method to Compound Fault Diagnosis of Locomotive Roller Bearings , 2008 .

[16]  David Mba,et al.  Development of Acoustic Emission Technology for Condition Monitoring andDiagnosis of Rotating Machines; Bearings, Pumps, Gearboxes, Engines and RotatingStructures. , 2006 .

[17]  Robert B. Randall,et al.  Use of the acceleration signal of a gearbox in order to perform angular resampling (with limited speed fluctuation) , 2005 .

[18]  D Mba,et al.  Bearing defect diagnosis and acoustic emission , 2003 .

[19]  Peter W. Tse,et al.  Wavelet Analysis and Envelope Detection For Rolling Element Bearing Fault Diagnosis—Their Effectiveness and Flexibilities , 2001 .

[20]  P. D. McFadden,et al.  APPLICATION OF SYNCHRONOUS AVERAGING TO VIBRATION MONITORING OF ROLLING ELEMENT BEARINGS , 2000 .

[21]  Steven Y. Liang,et al.  BEARING CONDITION DIAGNOSTICS VIA VIBRATION AND ACOUSTIC EMISSION MEASUREMENTS , 1997 .

[22]  P. D. McFadden,et al.  A technique for calculating the time domain averages of the vibration of the individual planet gears and the sun gear in an epicyclic gearbox , 1991 .

[23]  H. M. Teager,et al.  Evidence for Nonlinear Sound Production Mechanisms in the Vocal Tract , 1990 .

[24]  P. D. McFadden,et al.  A revised model for the extraction of periodic waveforms by time domain averaging , 1987 .

[25]  Takeo Yoshioka,et al.  A new acoustic emission source locating system for the study of rolling contact fatigue , 1982 .

[26]  A. Braun,et al.  The Extraction of Periodic Waveforms by Time Domain Averaging , 1975 .

[27]  P. Welch.  The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .