The specific method of judging whether the NSK bearing should be reported for repair, that is, the specific method of judging whether the NSK bearing has been fully utilized and the near damage occurs is as follows: 1) Use the NSK bearing working condition monitoring instrument such as ferrograph or SPM or I-ID-1 It is the most convenient and reliable method to judge the working state of the NSK bearing and determine when the NSK bearing should be repaired by using the NSK bearing working state monitoring instrument. For example, when using the HD-1 type instrument, when the pointer approaches the danger area from the warning area, and the pointer does not return after taking measures such as improving lubrication, it can be determined that it is the problem of the NSK bearing itself. In the area, report the NSK bearing for repair. How far from the danger zone to start repairing can be adjusted by experience. Using such an instrument, the working potential of NSK bearings can be fully utilized, the NSK bearings can be reported for repair in time, and failures can be avoided, which is safe and economical. 2) Use simple tools to monitor In the case where the above instruments are not available, the operator can hold a round bar or a wrench and other tools against the part of the machine casing closest to the NSK bearing, and put the ear ashamed of the tool to monitor the running sound of the NSK bearing from the tool. , of course, it can also be modified with a medical stethoscope. The normal NSK bearing running sound should be uniform, smooth and not harsh, while the abnormal NSK bearing running sound has various intermittent, impactful or harsh sounds. First of all, you must get used to the normal NSK bearing running sound, then you can grasp and judge the abnormal NSK bearing running sound, and then through the accumulation of practical experience, you can further analyze what kind of abnormal sound corresponds to what kind of NSK bearing abnormal phenomenon. There are many types of abnormal sounds of NSK bearings, which are difficult to describe, mainly relying on experience accumulation.