A novel feature for fault classification of rotating machinery: ternary approximate entropy for original, shuffle and surrogate data

HIGHLIGHTS

• who: Chunhong Dou and colleagues from the School of Machinery and Automation, Weifang University, No, Dong Feng Dong Street, Weifang, China have published the research: A Novel Feature for Fault Classification of Rotating Machinery: Ternary Approximate Entropy for Original, Shuffle and Surrogate Data, in the Journal: Machines 2023, 172 of /2023/
• what: As a result this paper develops a ternary ApEn approach by integrating the ApEn of the original shuffle and into a three-dimensional vector for describing the dynamics of complex Next the proposed ternary ApEn approach is compared with conventional temporal statistics conventional . . .
  

   

  

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