 |
bearing for mining |
10,22,2016 |
|
bearing in mining |
10,22,2016 |
|
bearing of mining |
10,22,2016 |
|
mining bearing |
10,22,2016 |
|
mining bearing |
10,22,2016 |
|
mining bearing |
10,22,2016 |
|
bearing for mining drum |
10,21,2016 |
|
bearing for mining drum |
10,21,2016 |
|
bearing for mining drum pulley |
10,21,2016 |
|
bearing for mining pulley |
10,21,2016 |
|
| Current Location：Home
- News |
How to Judge Automobile Bearing
|
| Time：2016.10.14 News Sources：Shandong Xinkaite bearing Co.,Ltd. Views：
|
First, the first bearing into the gasoline to clean, wipe away the residue in the car bearing the sludge and dust, all rusty bearings are gently wiped with polished metallographic sandpaper, until the hand feel no rough so far.
Second, with a dry rag to clean the bearing dry, and then into the anti-rust oil soaked. In this process, the bearings must be completely in contact with the anti-rust oil, and keep rotating bearings, so as to make anti-rust oil film formed on the surface of the bearing to achieve the purpose of anti-rust.
Third, followed by lithium grease evenly coated on the bearing surface, including the outer ring, wheels, cage. And is a side edge of the car bearing rotation, so that the butter really into the bearing internal, play a full lubrication.
Fourth, the last process is packaging. In order to save costs, we "turn waste into treasure", the warehouse scrap cement packaging bags, cut into the right size of the bag, the bearing package, wrap, mark the bearing specifications and then put back on the shelves. Bearing components of the work surface fatigue peeling, indentation or local corrosion, the bearing will run periodic pulse signal. This periodic signal can be received by a sensor (speed or acceleration) mounted on the housing and diagnosed by an analysis of the vibration signal.
Features: vibration diagnosis technology is widely used; can achieve on-line monitoring; diagnosis fast, diagnostic theory is mature. Applications: Particularly suitable for rotating machinery bearing fault monitoring.
|
|
|
