Method for fault feature selection for a baler gearbox based on an improved adaptive genetic algorithm

HIGHLIGHTS

• who: Bin Ren from the The test object we selected was a prototype of a selfpropelled wheat straw baler developed by the project team, and the acquisition object was the vibration signal of the baler gearbox when the gear was in the states of broken teeth, gear wear, no-fault, and inner ring wear, and outer ring wearThe hardware used for signal acquisition consisted of an INV X acceleration sensor and INV CT acquisition instrument from the China have published the research work: Method for Fault Feature Selection for a Baler Gearbox Based on an Improved Adaptive . . .
  

   

  

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