Cite
HARVARD Citation
Wang, D. et al. (2016). Novel Gauss–Hermite integration based Bayesian inference on optimal wavelet parameters for bearing fault diagnosis. Mechanical systems and signal processing. pp. 80-91. [Online].
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Wang, D. et al. (2016). Novel Gauss–Hermite integration based Bayesian inference on optimal wavelet parameters for bearing fault diagnosis. Mechanical systems and signal processing. pp. 80-91. [Online].