In the application of rolling bearing equipment is very wide, rolling NSK bearing state is directly related to the operation of the rotating equipment state, especially in continuous production enterprise, a large number of applied in large rotating equipment important part, therefore, in practical production ready to rolling bearing the condition monitoring and fault diagnosis is well equipment maintenance and management of the important link. We through long-term practice and exploration, accumulated some rolling bearing fault diagnosis of the actual practical skills.

A, rolling bearing fault diagnosis methods and key points

FAG, rolling bearings of the condition monitoring and fault diagnosis is a practical method of vibration analysis.

Practical choice should be paid attention to in the measuring point position and sampling method. To accurately reflect true rolling bearing vibration state, must pay attention to the acquisition of the signal accurate and truthful, so be in place from bearing recently arranged point, in general have the motor free after fan cover, the point selection in fan cover fixed screw with a better monitoring results. In addition must pay attention to vibration signal acquisition and analysis of many times, the comprehensive comparison. To get the exact conclusion.

Second, SKF rolling bearing the normal operation of the characteristics and practical diagnostic skills

Our long-term production condition monitoring, found in the process of rolling bearings use exhibit strong regularity, and repeatability are very good. Normal high quality bearing in the beginning when using, vibration and noise are relatively small, but spectrum some messy, amplitude are smaller, may be due to the production process of some defects, such as surface burr, etc..
Sports after period of time, vibration and noise and maintain a certain level, the spectrum is a single, there's only one, two times frequency. Seldom appears more than three times the power frequency spectrum, INA bearing state very stable, in a stable working period.



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