Intelligent diagnosis of resistance variant multiple fault locations of mine ventilation system based on ml-knn

HIGHLIGHTS

• who: Dong Wang and collaborators from the College of Safety Science and Engineering, Liaoning Technical University, Huludao, Liaoning, China, Key have published the article: Intelligent diagnosis of resistance variant multiple fault locations of mine ventilation system based on ML-KNN, in the Journal: PLOS ONE of 24/05/2022
• what: Meanwhile, the study showed that the diagnostic accuracy is based on the compound features of the air volume and wind pressure was higher than that which is based on the single feature of either air volume or wind pressure. In this study, a supervised learning . . .
  

   

  

  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.