Fault diagnosis of rolling element bearing using cyclic autocorrelation and wavelet transform

Pavan Kumar Kankar; Satish C. Sharma; S. P. Harsha

doi:10.1016/j.neucom.2012.11.012

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JOURNAL ARTICLE

Fault diagnosis of rolling element bearing using cyclic autocorrelation and wavelet transform

Pavan Kumar Kankar Satish C. Sharma S. P. Harsha

Year: 2013 Journal: Neurocomputing Vol: 110 Pages: 9-17 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2012.11.012

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Keywords:

Rolling-element bearing Autocorrelation Wavelet Pattern recognition (psychology) Cyclostationary process Computer science Vibration Entropy (arrow of time) Artificial intelligence Wavelet packet decomposition Bearing (navigation) Fault (geology) Wavelet transform Algorithm Mathematics Statistics Acoustics Channel (broadcasting) Telecommunications

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Fault diagnosis of rolling element bearing using cyclic autocorrelation and wavelet transform

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