Class-imbalanced machinery fault diagnosis using heterogeneous data fusion support tensor machine

HIGHLIGHTS

• What: In this paper, to simultaneously utilize the available information of multi sensors, frequency band components and statistical parameters, a third-order heterogeneous feature tensor is designed, and the specific process is described as follows.
• Who: Jed Lloren from the Henan Pingzhi High-Voltage Switchgear Co, Ltd., Pingdingshan, China, . College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China have published the paper: Class-imbalanced machinery fault diagnosis using heterogeneous data fusion support tensor machine, in the Journal: (JOURNAL)
• How: This paper proposes a new method for of bearing using support tensor machine . . .
  

   

  

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