A novel method of composite multiscale weighted permutation entropy and machine learning for fault complex system fault diagnosis
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.107748
Abstract: Abstract A novel fault diagnosis method is proposed for rolling bearing by combining extreme-point symmetric mode decomposition (ESMD) composite multiscale weighted permutation entropy (CMWPE) and gravitational search algorithm based on multiple adaptive constraint strategy (MACGSA)… read more here.
Keywords: multiscale weighted; fault; composite multiscale; method ... See more keywords
Improved multiscale weighted-dispersion entropy and its application in fault diagnosis of train bearing
Sign Up to like & getrecommendations! Published in 2021 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abdc98
Abstract: Multiscale dispersion entropy (MDE) is a common method for measuring the complexity of nonlinear time series. However, the uncertainty results by the MDE tool may be unreliable as the coarse-graining procedure will reduce the number… read more here.
Keywords: multiscale weighted; dispersion entropy; diagnosis; entropy ... See more keywords
Multiscale Weighted Permutation Entropy Analysis of Schizophrenia Magnetoencephalograms
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24030314
Abstract: Schizophrenia is a neuropsychiatric disease that affects the nonlinear dynamics of brain activity. The primary objective of this study was to explore the complexity of magnetoencephalograms (MEG) in patients with schizophrenia. We combined a multiscale… read more here.
Keywords: multiscale weighted; permutation entropy; weighted permutation; schizophrenia ... See more keywords