Motor bearing online monitoring and intelligent early warning system

Abstract

The invention relates to an online monitoring and intelligent early-warning system for a motor bearing, and belongs to the field of intelligent online monitoring of motors. The system comprises a bearing temperature sensor, an environment temperature sensor, a bearing noise sensor, a measuring and analyzing module, a display module, a communication module and an on-site alarm module; the bearing temperature sensor measures real-time temperature of an outer ring of the bearing, the environment temperature sensor measures the working environment temperature of a motor and transmits the working environment temperature to the measuring and analyzing module, the working environment temperature and data measured by the bearing noise sensor are combined to analyze and judge the operating and working state of the bearing, and the display module, the communication module and the on-site alarm module are used for early-warning or alarming. Early-warning and alarming for the motor bearing are achieved, bearing faults are found and handled in time and effectively prevented from broadening, and repair and maintenance efficiency is greatly improved. The online monitoring and intelligent early-warning system is simple in structure, convenient to install, low in cost and capable of widely applied to intelligent online monitoring of small and medium motor bearings.

Description

technical field [0001] The invention relates to an on-line monitoring system of motor bearings, in particular to a system capable of performing intelligent early warning while realizing on-line monitoring of motor bearings, belonging to the field of intelligent on-line monitoring of motors. Background technique [0002] Bearing is a kind of general-purpose equipment widely used in motors in the fields of electric power, metallurgy, and aviation, and its working conditions are also very harsh. The bearing plays the role of bearing load and transmitting load in the motor. Whether its operating state is normal will directly affect the performance of the entire motor. Bearing failure will cause damage to the motor winding and shaft, resulting in burnout and damage to the equipment, and at the same time cause The motor performance degradation or unexpected shutdown will bring immeasurable losses to industrial production, so the monitoring and early warning of the bearing operatin...

AI Technical Summary

Problems solved by technology

The bearing plays the role of bearing load and transmitting load in the motor. Whether its operating state is normal will directly affect the performance of the entire motor. Bearing failure will cause damage to the motor winding and shaft, resulting in burnout and damage to the equipment, and at the same time cause The motor performance degradation or unexpected shutdown will bring immeasurable losses to industrial production, so the monitoring and early warning of the bearing operating status is very necessary

However, due to cost and other issues, especially for small and medium-sized motors, bearing monitoring and early warning are often not carried out

[0003] The bearing detection methods adopted at the present stage are generally manual detection and single information source detection. The tester can judge the working state of the bearing by listening to the abnormal sound and using a portable temperature detector. , the impact of test equipment, etc. will cause the test results to be inaccurate and untimely

A single information source detection method such as the Chinese patent "A Motor Bearing Condition Monitoring System" (application number: 201220323453.4) proposes online monitoring of bearing temperature, but only judges and alarms based on the limit value of the bearing temperature, which is greatly affected by the ambient temperature. The false alarm rate is high, the judgment basis is single, and the early warning of bearing failure precursors cannot be given in advance; the lack of bearing failure re-inspection makes it difficult to quickly find out the cause of the failure and affect production; Take measures at the early stage of the failure to avoid the expansion of the failure, etc.

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