An efficient condition monitoring and fault diagnosis method for bearings under multiple working conditions
Author:
Affiliation:
1. College of Electrical and Information Engineering, Hunan University,Changsha,China,410082
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hunan Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10127967/10127864/10128051.pdf?arnumber=10128051
Reference11 articles.
1. Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings
2. Periodic impulse signal separation based on resonance-based sparse signal decomposition and its application to the fault detection of rolling bearing
3. The use of multiply measurements in taxonomic problems [J];fisher;Annals of Eugenics,1936
4. Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography
5. Resultant vibration signal model based fault diagnosis of a single stage planetary gear train with an incipient tooth crack on the sun gear
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