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Gearbox fault classification using dictionary sparse based representations of vibration signals.

, , , , , and . J. Intell. Fuzzy Syst., 34 (6): 3605-3618 (2018)

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Period estimation using minimum entropy deconvolution (MED)., , , and . Signal Process., 41 (1): 91-100 (1995)Poincaré Plot Features and Statistical Features From Current and Vibration Signals for Fault Severity Classification of Helical Gear Tooth Breaks., , , , and . J. Comput. Inf. Sci. Eng., (2023)Multiple motion estimation and segmentation in transparency., , and . ICASSP, page 2087-2090. IEEE, (2000)Characterizing artifacts in RR stress test time series., , , , and . EMBC, page 692-695. IEEE, (2016)3-D Numerical phantom of cardiac computed tomography., , and . (June 2022)An unsupervised clustering framework for automatic segmentation of left ventricle cavity in human heart angiograms., and . Comput. Medical Imaging Graph., 32 (5): 396-408 (2008)A Clustering Based Approach for Automatic Image Segmentation: An Application to Biplane Ventriculograms., , and . CIARP, volume 4225 of Lecture Notes in Computer Science, page 316-325. Springer, (2006)Classification of LV wall motion in cardiac MRI using kernel Dictionary Learning with a parametric approach., , , , , , and . EMBC, page 7292-7295. IEEE, (2015)Markov random field modeling for three-dimensional reconstruction of the left ventricle in cardiac angiography., , , , , and . IEEE Trans. Med. Imaging, 25 (8): 1087-1100 (2006)Three-dimensional reconstruction of the left ventricle from two angiographic views: an evidence combination approach., , , , and . IEEE Trans. Syst. Man Cybern. Part A, 34 (3): 359-370 (2004)