Details

Title

Fault Detection Enhancement in Rolling Element Bearings Using the Minimum Entropy Deconvolution

Journal title

Archives of Acoustics

Yearbook

2012

Numer

No 2

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society

Date

2012

Identifier

ISSN 0137-5075 ; eISSN 2300-262X

References

Antoni J. (2004a), Unsupervised noise cancellation for vibration signals: Part I - evaluation of adaptive algorithms, Mechanical Systems and Signal Processing, 18, 89, doi.org/10.1016/S0888-3270(03)00012-8 ; Antoni J. (2004b), Unsupervised noise cancellation for vibration signals: Part II - a novel frequency domain algorithm, Mechanical Systems and Signal Processing, 18, 103, doi.org/10.1016/S0888-3270(03)00013-X ; Antoni J. (2006), The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines, Mechanical Systems and Signal Processing, 20, 308, doi.org/10.1016/j.ymssp.2004.09.002 ; Antoni J. (2007), Cyclic spectral analysis in practice, Mechanical Systems and Signal Processing, 21, 597, doi.org/10.1016/j.ymssp.2006.08.007 ; Antoni J. (2009), Cyclostationarity by examples, Mechanical Systems and Signal Processing, 23, 987, doi.org/10.1016/j.ymssp.2008.10.010 ; Barszcz T. (2009), Decomposition of vibration signals into deterministic and nondeterministic components and its capabilities for fault detection and identification, International Journal of Applied Mathematics and Computer Science, 19, 327, doi.org/10.2478/v10006-009-0028-0 ; Barszcz T. (2011), A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram, Mechanical Systems and Signal Processing, 20, 308. ; Boumahdi M. (1995), Blind identification using the Kurtosis: Results of field data processing, IEEE Trans of Signal Processing, 1960. ; Braun S. (2010), The synchronous (time domain) average revisited, null. ; Cempel C. (2008), Decomposition of symptom observation matrix and grey forecasting in vibration condition monitoring of machines, International Journal of Applied Mathematics and Computer Science, 18, 569, doi.org/10.2478/v10006-008-0050-7 ; Darlow M. S., Badgley R. H., Hogg G. W. (1974), <i>Application of high frequency resonance techniques for bearing diagnostics in helicopter gearboxes, Technical Report</i>, US Army Air Mobility Research and Development Laboratory, pp. 74-77. ; Endo H. (2007), Application of a minimum entropy deconvolution filter to enhance Autoregressive model based gear tooth fault detection technique, Mechanical Systems and Signal Processing, 21, 906, doi.org/10.1016/j.ymssp.2006.02.005 ; Gajetzki M. (2006), SeaCom - Digital Measurement and Communication Systems. ; Gibiec M. (2006), An application of acoustic measurements to quality control of low power electrical motors, Archives of Acoustics, 31, 4, 521. ; Hau E. (2006), Wind Turbines. Fundamentals, Technologies, Applications, Economics. ; Heng A. (2009), Rotating machinery prognostics: State of the art, challenges and opportunities, Mechanical Systems and Signal Processing, 23, 724, doi.org/10.1016/j.ymssp.2008.06.009 ; Ho D. (2000), Optimisation of bearing diagnostic techniques using simulated and actual bearing fault signals, Mechanical Systems and Signal Processing, 14, 763, doi.org/10.1006/mssp.2000.1304 ; Klein U. (2003), Vibrodiagnostic assessment of machines and devices. ; Krzyworzeka P. (2006), Demodulation of non-stationary machine vibration using cycle-time scale, Archives of Acoustics, 31, 2, 167. ; Lee J. (2000), Extraction of impacting signals using blind deconvolution, Journal of Sound and Vibration, 232, 945, doi.org/10.1006/jsvi.1999.2778 ; Nandi A. (1997), Blind deconvolution of ultrasonic signals in non-destructive testing applications, IEEE Trans of Signal Processing, 45, 1382, doi.org/10.1109/78.575716 ; Randall R. (2001), The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals, Mechanical Systems and Signal Processing, 15, 945, doi.org/10.1006/mssp.2001.1415 ; Randall R. (2011), Rolling element bearing diagnostics - A tutorial, Mechanical Systems and Signal Processing, 25, 485, doi.org/10.1016/j.ymssp.2010.07.017 ; Sawalhi N. (2007), The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis, Mechanical Systems and Signal Processing, 21, 2616, doi.org/10.1016/j.ymssp.2006.12.002 ; Wang W. (2002), Autoregressive model-based gear fault diagnosis, Transaction of ASME, Journal of Vibration and Acoustics, 124, 172, doi.org/10.1115/1.1456905 ; Wiggins R. (1978), Minimum entropy deconvolution, Geoexploration, 16, 21, doi.org/10.1016/0016-7142(78)90005-4

DOI

10.2478/v10168-012-0019-2

×