By using the characters and advantages of wavelet transform with MRA and local time-frequency domain, the feature parameter group which reflecting gear fault features is built.

 
  • 摘要運用小波變換的多分辨和時(shí)頻局部化特性,建立故障徵兆的初始徵參數集合。
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