PMID- 33266545
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201207
IS  - 1099-4300 (Electronic)
IS  - 1099-4300 (Linking)
VI  - 20
IP  - 11
DP  - 2018 Oct 24
TI  - Rolling Bearing Diagnosis Based on Composite Multiscale Weighted Permutation 
      Entropy.
LID - 10.3390/e20110821 [doi]
LID - 821
AB  - In this paper, composite multiscale weighted permutation entropy (CMWPE) is 
      proposed to evaluate the complexity of nonlinear time series, and the advantage 
      of the CMWPE method is verified through analyzing the simulated signal. 
      Meanwhile, considering the complex nonlinear dynamic characteristics of fault 
      rolling bearing signal, a rolling bearing fault diagnosis approach based on 
      CMWPE, joint mutual information (JMI) feature selection, and k-nearest-neighbor 
      (KNN) classifier (CMWPE-JMI-KNN) is proposed. For CMWPE-JMI-KNN, CMWPE is 
      utilized to extract the fault rolling bearing features, JMI is applied for 
      sensitive features selection, and KNN classifier is employed for identifying 
      different rolling bearing conditions. Finally, the proposed CMWPE-JMI-KNN 
      approach is used to analyze the experimental dataset, the analysis results 
      indicate the proposed approach could effectively identify different fault rolling 
      bearing conditions.
FAU - Gan, Xiong
AU  - Gan X
AUID- ORCID: 0000-0001-7585-3145
AD  - School of Mechanical and Electronic Engineering, Wuhan University of Technology, 
      Wuhan 430070, China.
FAU - Lu, Hong
AU  - Lu H
AUID- ORCID: 0000-0003-3620-1659
AD  - School of Mechanical and Electronic Engineering, Wuhan University of Technology, 
      Wuhan 430070, China.
FAU - Yang, Guangyou
AU  - Yang G
AD  - Institute of Agricultural Machinery, Hubei University of Technology, Wuhan 
      430068, China.
FAU - Liu, Jing
AU  - Liu J
AD  - Institute of Agricultural Machinery, Hubei University of Technology, Wuhan 
      430068, China.
LA  - eng
GR  - 51275372/National Natural Science Foundation of China/
GR  - 61540027/National Natural Science Foundation of China/
GR  - 2017YFD07006/National Key Research and Development Program of China/
GR  - 2018YFB0105300/National Key Research and Development Program of China/
PT  - Journal Article
DEP - 20181024
PL  - Switzerland
TA  - Entropy (Basel)
JT  - Entropy (Basel, Switzerland)
JID - 101243874
PMC - PMC7512383
OTO - NOTNLM
OT  - CMWPE
OT  - fault diagnosis
OT  - rolling bearing
COIS- The authors declare no conflict of interest.
EDAT- 2018/10/24 00:00
MHDA- 2018/10/24 00:01
PMCR- 2018/10/24
CRDT- 2020/12/03 01:07
PHST- 2018/09/30 00:00 [received]
PHST- 2018/10/19 00:00 [revised]
PHST- 2018/10/22 00:00 [accepted]
PHST- 2020/12/03 01:07 [entrez]
PHST- 2018/10/24 00:00 [pubmed]
PHST- 2018/10/24 00:01 [medline]
PHST- 2018/10/24 00:00 [pmc-release]
AID - e20110821 [pii]
AID - entropy-20-00821 [pii]
AID - 10.3390/e20110821 [doi]
PST - epublish
SO  - Entropy (Basel). 2018 Oct 24;20(11):821. doi: 10.3390/e20110821.