How to identify stainless steel bearing failure?

Identifying whether a bearing has failed can be done in a number of ways. Here are some commonly used methods:

1. Sound identification: Experienced workers can identify whether there is a fault by listening to the sound of bearing operation. The sound of a normal bearing should be uniform and smooth. If there is abnormal noise, noise or periodic high and low sounds, it may indicate that there is a problem with the bearing. For example, if the sound is monotonous and uniform but the bearing temperature is too high, it may be that there is excessive lubricating oil in the bearing or the viscosity of the lubricating oil is too high; if the sound is periodically high and low, it may be that the load of the motor has changed.

2. Temperature check: For running bearings, faults can be identified by continuously recording their operating temperature. If the bearing temperature is too high or changes erratically, it may indicate a malfunction. For example, if the temperature of the rolling bearing exceeds 60°C and the temperature of the sliding bearing exceeds 45°C, the bearing may be severely heated and there may be a problem.

3. Lubricant status inspection: Sampling and analyzing the lubricant, observing its degree of contamination, whether it is mixed with foreign matter or metal powder, etc., can determine whether the bearing has failed.

4. Five-sense inspection: This is a method to check the status of the equipment through human vision, hearing, nose smell, hand touch and other senses as well as some simple auxiliary devices (such as listening sticks, inspection hammers, thermometers, etc.). For example, you can visually observe whether the paint on the bearing seat is cracked and whether the joint marks on the upper and lower bearings are misaligned, so as to determine the looseness of the bearing seat.

5. Manual inspection: Through manual operation, such as grabbing the rotating shaft of the motor and shaking it up and down, or pinching the outer ring of the bearing and shaking it several times in the axial direction, you can check whether the bearing is loose or has excessive gaps.

In addition, modern technologies such as specially customized light sources and intelligent machine vision algorithms can also be used to detect and identify bearing defects. This method can automatically identify defect types with high efficiency and accuracy.