Abstract
After a period of operation, the quayside crane motor will change. It is necessary to classify and identify the vibration state of the quayside crane motor. This paper presents an application of the genetic algorithm in vibration state classification and identification of the quayside crane motor. This article shows an engineering example and classifies and identifies the vibration state of the quayside crane motor in the last day successfully. This paper provides some suggestions on the use and maintenance of the quayside crane based on the vibration state of the quayside crane motor.
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