Frequency Domain Signal-to-Noise Ratio (FDSNR)

An indicator estimates useful information from the frequency domain by means of harmonic-related spectral structures.
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Updated 12 Nov 2023

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Frequency Domain Signal-to-Noise Ratio (FDSNR): A useful indicator for evaluating fault information of rotating machinery
It is more robust to estimate the fault information contained in vibration signals of rotating machinery in frequency domain. The demodulation spectrum of vibration signals of faulty rotating machinery presents a harmonic related spectrum structure, such as envelope spectrum. Aiming at evaluating useful mechanical fault information, frequency domain signal-to-noise ratio (FDSNR) index is proposed to estimate useful information from frequency domain by means of harmonic related spectral structure. FDSNR has clear physical meaning and stronger robustness to interference components. Good and stable results have been achieved in rolling bearing fault diagnosis, as shown in the following two journal articles:
[1] Chen B, Song D, Zhang W, Cheng Y. A novel spectral coherence-based envelope spectrum for railway axle-box bearing damage identification. Structural Health Monitoring. 2023;22(2):879-896. doi:10.1177/14759217221095067
[2] Chen B, Cheng Y, Zhang W, Gu F, Mei G. Optimal frequency band selection using blind and targeted features for spectral coherence-based bearing diagnostics: A comparative study. ISA Transactions. 2022;127:395-414. doi:10.1016/j.isatra.2021.08.025

Cite As

Chen Bingyan (2025). Frequency Domain Signal-to-Noise Ratio (FDSNR) (https://se.mathworks.com/matlabcentral/fileexchange/129774-frequency-domain-signal-to-noise-ratio-fdsnr), MATLAB Central File Exchange. Retrieved .

Chen, Bingyan, et al. “Optimal Frequency Band Selection Using Blind and Targeted Features for Spectral Coherence-Based Bearing Diagnostics: A Comparative Study.” ISA Transactions, vol. 127, Elsevier BV, Aug. 2022, pp. 395–414, doi:10.1016/j.isatra.2021.08.025.

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Chen, Bingyan, et al. “A Novel Spectral Coherence-Based Envelope Spectrum for Railway Axle-Box Bearing Damage Identification.” Structural Health Monitoring, vol. 22, no. 2, SAGE Publications, May 2022, pp. 879–96, doi:10.1177/14759217221095067.

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MATLAB Release Compatibility
Created with R2017b
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Version Published Release Notes
1.0.2

Update description

1.0.1

Revision

1.0.0