Blind fault extraction of rolling-bearing compound fault based on improved morphological filtering and sparse component analysis

HIGHLIGHTS

• who: Wensong Xie and colleagues from the Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China have published the research work: Blind Fault Extraction of Rolling-Bearing Compound Fault Based on Improved Morphological Filtering and Sparse Component Analysis, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
• what: The main contributions of this work are as follows: A blind extraction method for complex fault diagnosis based on sinC function improved morphological filtering (SMF), density peak clustering (DPC) and orthogonal matching pursuit (OMP) was proposed; In this paper . . .
  

   

  

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