PMID- 34696108
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20211029
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 21
IP  - 20
DP  - 2021 Oct 18
TI  - The Detection of Motor Bearing Fault with Maximal Overlap Discrete Wavelet Packet 
      Transform and Teager Energy Adaptive Spectral Kurtosis.
LID - 10.3390/s21206895 [doi]
LID - 6895
AB  - Motor bearings are one of the most critical components in rotating machinery. 
      Envelope demodulation analysis has been widely used to demodulate bearing 
      vibration signals to extract bearing defect frequency components but one of the 
      main challenges is to accurately locate the major fault-induced frequency band 
      with a high signal-to-noise ratio (SNR) for demodulation. Hence, an enhanced 
      fault detection method combining the maximal overlap discrete wavelet packet 
      transform (MODWPT) and the Teager energy adaptive spectral kurtosis (TEASK) 
      denoising algorithms is proposed for identifying the weak periodic impulses. The 
      Teager energy power spectrum (TEPS) defines the sparse representation of the 
      filtered signals of the MODWPT in the frequency domain via the Teager energy 
      operator (TEO); the TEASK helps determine the most informative frequency band for 
      demodulation. The methodology is compared in terms of performance with the fast 
      Kurtogram and the Autogram methods. The simulation and practical application 
      examples have shown that the proposed MODWPT-TEASK method outperforms the above 
      two methods in diagnosing defects of motor bearings.
FAU - Yang, D-M
AU  - Yang DM
AD  - Department of Mechanical and Automation Engineering, Kao-Yuan University, 
      Kaohsiung 821, Taiwan.
LA  - eng
PT  - Journal Article
DEP - 20211018
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC8539747
OTO - NOTNLM
OT  - Teager energy adaptive spectral kurtosis
OT  - bearing fault detection
OT  - maximal overlap discrete wavelet packet transform
COIS- The author declares no conflict of interest.
EDAT- 2021/10/27 06:00
MHDA- 2021/10/27 06:01
PMCR- 2021/10/18
CRDT- 2021/10/26 01:01
PHST- 2021/08/18 00:00 [received]
PHST- 2021/10/11 00:00 [revised]
PHST- 2021/10/13 00:00 [accepted]
PHST- 2021/10/26 01:01 [entrez]
PHST- 2021/10/27 06:00 [pubmed]
PHST- 2021/10/27 06:01 [medline]
PHST- 2021/10/18 00:00 [pmc-release]
AID - s21206895 [pii]
AID - sensors-21-06895 [pii]
AID - 10.3390/s21206895 [doi]
PST - epublish
SO  - Sensors (Basel). 2021 Oct 18;21(20):6895. doi: 10.3390/s21206895.