Discussion on ferrography analysis technology

In mechanical equipment, the application frequency of sliding bearing is relatively high, but it is prone to wear. In the actual application process, the ferrography analysis method can be used to monitor and analyze the composition of the oil sample, so as to find abnormal conditions in time, which is convenient for the mechanical maintenance personnel to troubleshoot in time.
Although the vibration analysis can also effectively detect the mechanical operation failure, it is difficult to troubleshoot the wear failure. In the early stage of wear, the sliding bearing is still in a normal state, and the wear will not affect the normal operation of other parts. Therefore, the overall vibration parameters of the machine may be within the normal parameter range, so the obstacles cannot be effectively predicted.
Different from the vibration analysis method, the ferrography analysis method can effectively detect a large number of wear particles, thus providing a scientific basis for early troubleshooting. However, in the actual application process, because the ferrography is mainly sensitive to ferromagnetic materials, but its response to nonmagnetic materials is relatively slow, if the amount of nonmagnetic materials is not large, the ferrography analysis may be invalid. It can be seen that the application of ferrography analysis to predict sliding bearing wear failure is difficult.
In this regard, enterprises should actively strengthen the research on fault prediction technology, carefully study the causes of wear of main exhaust sliding bearings, accumulate experience, and propose effective treatment measures to prevent the occurrence of faults, so as to reduce the events of sliding bearing failure, reduce the economic losses caused by faults, and improve the economic benefits of enterprises.