Method and electronic equipment for dynamically monitoring service life of train bearing

Abstract

The invention belongs to the technical field of bearing life prediction, and particularly relates to a method and electronic equipment for dynamically monitoring the service life of a train bearing, and the method comprises the steps: collecting the vibration accelerations ax, ay and az of the bearing in X, Y and Z directions through a sensor, the X and Z directions being the radial direction of the bearing, the X direction being parallel to the driving direction, the Z direction being perpendicular to the driving direction, and the Y direction being the axial direction of the bearing; calculating the radial load and the axial load of the bearing according to the average axle load, the unsprung mass and the vibration acceleration of the train; calculating the equivalent dynamic load of the bearing according to the radial load, the axial load and the bearing type of the bearing; and calculating the basic rated life of the bearing according to the basic rated dynamic load, the equivalent dynamic load and the life index of the bearing. Real and accurate vibration data of each bearing are acquired through a sensor, the service life of the bearing is calculated according to the vibration data of the bearing, service life prediction is refined to each bearing, and accurate evaluation and dynamic monitoring of bearing reliability are achieved.

Description

technical field [0001] The invention belongs to the technical field of bearing life prediction, and in particular relates to a method and electronic equipment for dynamically monitoring the service life of train bearings. Background technique [0002] Subway axle box bearings are crucial to the safe operation of trains. Once a bearing fails while the train is running on the main line and is not dealt with in time, the consequences will be disastrous. Therefore, it is necessary to monitor the running health status of axlebox bearings. [0003] Accurately estimating the remaining life of the bearing is an important part of the reliability of the bearing operation. The current operating status of the bearing can be fed back to the owner in real time, and the owner can be guided to prepare for repair and replacement in time, which can avoid the resource loss caused by premature maintenance. Waste can also avoid potential safety hazards caused by late discovery. [0004] At pre...

AI Technical Summary

Problems solved by technology

Most scholars have not considered the dynamics of the actual working conditions of the bearings and the differences in the operating states of different bearings, resulting in a fixed value for the calculated remaining life, which is not refined to each bearing, which does not conform to the actual situation

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