Study on a fault identification method of the hydraulic pump based on a combination of voiceprint characteristics and extreme learning machine

HIGHLIGHTS

• who: Wanlu Jiang and colleagues from the Yanshan University, Qinhuangdao, China have published the research work: Study on a Fault Identification Method of the Hydraulic Pump Based on a Combination of Voiceprint Characteristics and Extreme Learning Machine, in the Journal: Processes 2019, 7, x FOR PEER REVIEW of /2019/
• what: In this paper, the acoustic signal of an axial piston pump was collected by using a non-contact sound sensor, and the fault diagnosis method combining MFCC and ELM was adopted to realize the diagnosis and identification of the normal working state, single slipper wear . . .
  

   

  

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