Online Diagnosis Method of Main Lifting Motor Bearing for Metallurgical Overhead Crane in Steel Plant Based on ASNBD
The main lifting motor of metallurgical overhead cranes in steel plants needs to operate for a long time under high temperature,high dust and heavy load conditions.If a bearing failure occurs,it will affect the efficiency of steelmaking and may even cause a major accident.This study aims to improve the reliability of online fault diagnosis for the main lifting motor bearing using in the metallurgical overhead crane under the complex environment of the steel plant.It introduced a reliable acquisition scheme applying network relay combined with temperature feedback for the maintenance of the data acquisition instrument.Then it established a reliable online diagnosis method for the main lifting motor bearing to carry out the fault feature extraction by using ASNBD to decompose the signal into the intrinsic narrow-band components.The method was applied on a 420-ton overhead crane in a plant,and successfully predicted the bearing roller failure of the main lifting motor.This method provides solid technical support for the reliable and stable operation of the main lifting motor of metallurgical overhead cranes.
NETL
NSTL
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