he condition prediction is needed for the maintenance of the equipment. The oldmethod of identification of machinery system is not practicable because the non-linear character is becoming more and more prominent. Gray System and Neural Network is adoptedhere to the method of prediction. The method is found to be in agreement with experimentalda ta.
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