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When a gear fault is presented, the ensemble empirical decomposition (EEMD) method has been widely used in the detection of gear fault and has given good results. However, under signals from two vibration transducers which are installed in different directions, the vibration data from every sensor becomes necessary to obtain much more precise results. This paper suggests a new feature frequency extraction...
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