Vibration-state on-line monitoring method of high-voltage motor driving conveying belt

Abstract

The invention discloses a vibration-state on-line monitoring method of a high-voltage motor driving a conveying belt. The method is characterized by setting vibration sensors used for outputting vibration signals on each bearing seat of a high voltage motor and collecting vibration characteristic signals; establishing an electromagnetic vibration classification index caused by a high voltage motor stator abnormity, extracting a electromagnetic vibration fault characteristic caused by an uneven air gap, establishing an electromagnetic vibration classification index caused by a rotor conducting bar abnormity, extracting a mechanical vibration fault characteristic caused by imbalance, establishing a mechanical vibration classification index generated by a rolling bearing abnormity and extracting a mechanical vibration fault characteristic caused by poor high voltage motor installation and adjustment respectively; according to the collected vibration characteristic signals, through certain operation, obtaining the indexes of monitoring a high voltage motor fault and carrying out corresponding early warning. In the invention, the classification index of high voltage motor vibration diagnosis is established; electrical and mechanical failure faults of the high voltage motor are accurately forecasted; an operation state and a deterioration trend of the high voltage motor are grasped and safe operation is ensured.

Description

technical field [0001] The invention relates to an online monitoring method for the vibration state of a high-voltage motor driving a conveyor belt. Background technique [0002] Usually the production raw materials of metallurgical enterprises, such as coal, iron ore powder, lime, etc., are transported to the shore by ships through conveyor belts, and the conveyor belts are driven by high-voltage motors. They are also called "throats" of metallurgical enterprises; Consequences of business shutdown. At present, the core high-voltage motors of conveying equipment only stay in the traditional conventional means for detection, without fault diagnosis and prediction, and there are certain operational risks, which affect the normal production order of metallurgical enterprises. [0003] Usually, offline diagnosis and online diagnosis are mainly used to grasp the status of high-voltage motors. Offline diagnosis generally completes information collection on site, and data processi...

AI Technical Summary

Problems solved by technology

The timeliness of the information obtained by offline diagnosis cannot be guaranteed, and the running status of the high-voltage motor cannot be monitored timely and accurately

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