Multi-disturbance identification from mine wind-velocity data based on mssw and wpt-gbdt

HIGHLIGHTS

• who: Wentian Shang and colleagues from the College of Safety Science and Engineering, Liaoning Technical University, Huludao, Liaoning, PR China have published the Article: Multi-disturbance identification from mine wind-velocity data based on MSSW and WPT-GBDT, in the Journal: PLOS ONE of 17/Oct/2022
• what: In the present study, only the mine-car operation similarity experiment, the MSSW-based WPT-GBDT mine multi-disturbance recognition algorithm, and the verification tests are presented. An MSSW-based WPT-GBDT mine multi-disturbance identification algorithm was proposed in this study, and was designed to identify . . .
  

   

  

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