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Bearing fault identification method
Without disassembly inspection, you can identify or predict whether the running bearing is faultless, which is very important to improve productivity and economy.
The main identification is as follows:
1) recognize by sound
Recognition by sound requires a wealth of experience. Must be adequately trained to recognize the bearing sound and non-bearing sound. To this end, as far as possible by professionals to carry out this work. With a stick attached to the shell can clearly hear the sound of the bearing.
2) through the working temperature identification
This method is a comparative method, limited to the occasion of little change in operating conditions. Therefore, continuous recording of temperature must be performed. In the event of a fault, the temperature will not only increase, but also irregular changes. This method is suitable for use with voice recognition methods.
3) through the lubricant identification
Lubricant sampling analysis, through its degree of contamination, whether mixed with foreign matter or metal powder to judge. This method is particularly effective for bearings or large bearings that can not be closely observed.
The bearing can not be directly observed during operation, but the bearing abnormality can be detected through the conditions of noise, vibration, temperature, lubricant and the like.
The main identification is as follows:
1) recognize by sound
Recognition by sound requires a wealth of experience. Must be adequately trained to recognize the bearing sound and non-bearing sound. To this end, as far as possible by professionals to carry out this work. With a stick attached to the shell can clearly hear the sound of the bearing.
2) through the working temperature identification
This method is a comparative method, limited to the occasion of little change in operating conditions. Therefore, continuous recording of temperature must be performed. In the event of a fault, the temperature will not only increase, but also irregular changes. This method is suitable for use with voice recognition methods.
3) through the lubricant identification
Lubricant sampling analysis, through its degree of contamination, whether mixed with foreign matter or metal powder to judge. This method is particularly effective for bearings or large bearings that can not be closely observed.
The bearing can not be directly observed during operation, but the bearing abnormality can be detected through the conditions of noise, vibration, temperature, lubricant and the like.
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