Compound fault diagnosis of rotating machinery based on adaptive maximum correlated kurtosis deconvolution and customized multiwavelet transform
Author:
Funder
National Natural Science Foundation of China
Natural Science Fund of Jiangxi Province
Publisher
IOP Publishing
Subject
Applied Mathematics,Instrumentation,Engineering (miscellaneous)
Link
http://iopscience.iop.org/article/10.1088/1361-6501/aadefe/pdf
Reference32 articles.
1. Compound faults detection of rotating machinery using improved adaptive redundant lifting multiwavelet
2. The infogram: Entropic evidence of the signature of repetitive transients
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5. A method for the compound fault diagnosis of gearboxes based on morphological component analysis
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