Machine conditioning monitoring closed loop lubrication system and method
In one embodiment, the disclosed method for lubricating a machine bearing system includes monitoring a bearing system using a vibration sensor, such as an accelerometer, receiving a signal from the vibration sensor, calculating a parameter based on the signal; and adding a lubricant to the bearing system based upon the parameter. In another embodiment, a system may include a vibration sensor, a monitor configured to receive a signal from the vibration sensor and calculate a spike energy value, and a lubrication device configured to add a lubricant to a bearing system based on the spike energy value. The system and method help reduce maintenance and repair costs, while prolonging the life of the machine system components being monitored.
1. A method for lubricating a machine bearing system, comprising:
monitoring a bearing system using a vibration sensor;
receiving a signal from the vibration sensor;
calculating a value of spike energy based on the signal; and
adding a lubricant to the bearing system based upon the spike energy value via an automated lubrication device.
2. The method of claim 1 , further comprising evaluating the spike energy to determine whether the bearing system needs lubrication.
3. The method of claim 2 , comprising evaluating the spike energy by comparing the spike energy value to a threshold value.
4. The method of claim 1 , wherein the spike energy value comprises a rate of change of spike energy.
5. The method of claim 1 , wherein the vibration sensor comprises an accelerometer.
6. The method of claim 1 , comprising evaluating the spike energy following addition of the lubricant to determine whether an undesired condition exists in the bearing system.
7. The method of claim 6 , comprising notifying an operator that the undesired condition exists in the bearing system.
8. The method of claim 1 , comprising evaluating the spike energy and machine condition monitoring data to detect a cause of an undesirable condition in the bearing system.
9. The method of claim 8 , wherein the machine condition monitoring data comprises an overall vibration parameter, an unbalance parameter, a looseness parameter, a Fourier transform parameter, or a misalignment parameter.
10. A method for lubricating a machine bearing system, comprising:
monitoring a bearing system using a vibration sensor;
receiving a signal from the vibration sensor;
calculating a value of spike energy based on the signal;
comparing the spike energy value to a threshold; and
adding a lubricant to the bearing system based upon the comparison via an automated lubrication device.
11. The method of claim 10 , wherein the spike energy value is a rate of change of spike energy.
12. The method of claim 10 , comprising evaluating the spike energy following addition of the lubricant to determine whether an undesired condition exists in the bearing system.
13. The method of claim 12 , comprising notifying an operator that the undesired condition exists in the bearing system.
14. The method of claim 12 , comprising adding a second amount of lubricant in response to the undesired condition.
15. The method of claim 10 , comprising evaluating the spike energy and machine condition monitoring data to detect a cause of the undesirable condition in the bearing system.
16. A machine bearing lubrication system, comprising:
a vibration sensor;
a monitor configured to receive a signal from the vibration sensor and calculate a spike energy value; and
an automated lubrication device configured to add a lubricant to a bearing system based on the spike energy value.
17. The system of claim 16 , wherein the spike energy value comprises a rate of change of spike energy.
18. The system of claim 16 , wherein the monitor is configured to evaluate the spike energy following addition of the lubricant to determine whether an undesired condition exists in the bearing system.
19. The system of claim 18 , comprising notifying an operator that the undesired condition exists in the bearing system.
20. The system of claim 18 , comprising adding a second amount of lubricant in response to the undesired condition.
21. The system of claim 18 , comprising evaluating the spike energy and machine condition monitoring data to detect a cause of the undesirable condition in the bearing system.
22. The system of claim 21 , wherein the machine condition monitoring data comprises an overall vibration parameter, an unbalance parameter, a looseness parameter, a Fourier transform parameter, or a misalignment parameter.