A review of feature extraction methods in vibration-based condition monitoring and its application for degradation trend estimation of low-speed slew bearing

HIGHLIGHTS

• who: Wahyu Caesarendra and Tegoeh Tjahjowidodo from the Mechanical Engineering Department, Diponegoro University, Semarang, Indonesia have published the research work: A Review of Feature Extraction Methods in Vibration-Based Condition Monitoring and Its Application for Degradation Trend Estimation of Low-Speed Slew Bearing, in the Journal: Machines 2017, 21 of /2017/
• what: The paper presents combined EEMG and multiscale independent component analysis (ICA).
• how: This paper presents an empirical study of feature extraction methods for the application of The summary of the statistical time-domain features is presented in Table 1. The ARartificially . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.