The multi sensor fusion system was established to monitor the passivation status of grinding wheel. BP neural network was used to interfuse reasonably the acoustic emission signal, grinding force signal and power sensor signal. The output eigenvalue of the neural network was considered as a criterion to distinguish the passivation status of grinding wheel. A self adaptive learning strategy was brought forward. A grinding wheel passivation experiment was done. The multi sensor infusion method can get hi...
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