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Journal Articles
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2025, 8(2): 021002.
Paper No: NDE-24-1017
Published Online: September 11, 2024
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 1 Bearing with inner race fault More about this image found in Bearing with inner race fault
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 2 Vibration model of a bearing More about this image found in Vibration model of a bearing
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 3 Flowchart showing the methodology More about this image found in Flowchart showing the methodology
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 4 Simulated signal: ( a ) signal in the time domain and ( b ) FFT of signal More about this image found in Simulated signal: ( a ) signal in the time domain and ( b ) FFT of signal
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 5 Decomposed wavelets of a simulated signal More about this image found in Decomposed wavelets of a simulated signal
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 6 Wavelet transform of a simulated signal (single wavelet) More about this image found in Wavelet transform of a simulated signal (single wavelet)
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 7 Extracted ridge curve of a simulated signal (middle sinusoidal curve: ridge curve and top and bottom curves: supports) More about this image found in Extracted ridge curve of a simulated signal (middle sinusoidal curve: ridge...
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 8 Reconstructed signal (simulated) More about this image found in Reconstructed signal (simulated)
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 9 Fifty-two nonlinear modes for a simulated signal More about this image found in Fifty-two nonlinear modes for a simulated signal
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 10 Nonlinear modes obtained by applying NMD on simulated signal: ( a ) nonlinear modes 1–5, ( b ) nonlinear modes 6–10, ( c ) nonlinear modes 11–15, ( d ) nonlinear modes 16–20, ( e ) nonlinear modes 21–25, ( f ) nonlinear modes 26–30, ( g ) nonlinear modes 31–35, ( h ) nonlinear modes 36–40,... More about this image found in Nonlinear modes obtained by applying NMD on simulated signal: ( a ) nonline...
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 11 Dataset taken from the online database [ 29 ]: ( a ) time domain signal and ( b ) FFT of the whole signal More about this image found in Dataset taken from the online database [ 29 ]: ( a ) time domain signal and...
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 12 Fifty-two nonlinear modes obtained by applying NMD on real data taken from an online database for fault size 0.007 in. (Case 1) More about this image found in Fifty-two nonlinear modes obtained by applying NMD on real data taken from ...
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 13 NMD analysis results for fault size 0.007 in. (Case 1): ( a ) nonlinear modes 1–5, ( b ) nonlinear modes 6–10, ( c ) nonlinear modes 11–15, ( d ) nonlinear modes 16–20, ( e ) nonlinear modes 21–25, ( f ) nonlinear modes 26–30, ( g ) nonlinear modes 31–35, ( h ) nonlinear modes 36–40, ( i )... More about this image found in NMD analysis results for fault size 0.007 in. (Case 1): ( a ) nonlinear mod...
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 14 Nonlinear modes and their FFTs for the first four4 highest values of RMS: ( a ) highest RMS, ( b ) second highest RMS, ( c ) third highest RMS, and ( d ) fourth highest RMS More about this image found in Nonlinear modes and their FFTs for the first four4 highest values of RMS: (...
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 15 Nonlinear modes and their FFTs for the first four highest KR values: ( a ) highest KR, ( b ) second highest KR, ( c ) third highest KR, and ( d ) fourth highest KR More about this image found in Nonlinear modes and their FFTs for the first four highest KR values: ( a ) ...
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 16 Nonlinear modes and their FFT for first four values of variance: ( a ) highest variance, ( b ) second highest variance, ( c ) third highest variance, and ( d ) fourth highest variance More about this image found in Nonlinear modes and their FFT for first four values of variance: ( a ) high...
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 17 Nonlinear modes and their FFT for first four values of SD: ( a ) highest SD, ( b ) second highest SD, ( c ) third highest SD, and ( d ) fourth highest SD More about this image found in Nonlinear modes and their FFT for first four values of SD: ( a ) highest SD...
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 18 Nonlinear modes and their FFT for first four values of RMS × variance: ( a ) highest RMS × variance, ( b ) second highest RMS × variance, ( c ) third highest RMS × variance, and ( d ) fourth highest RMS × variance More about this image found in Nonlinear modes and their FFT for first four values of RMS × variance: ( a ...
Image
in Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: September 11, 2024
Fig. 19 Nonlinear modes and their FFT for the first four values of RMS × SD: ( a ) highest RMS × SD, ( b ) second highest RMS × SD, ( c ) third highest RMS × SD, and ( d ) fourth highest RMS × SD More about this image found in Nonlinear modes and their FFT for the first four values of RMS × SD: ( a ) ...
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