Condition Monitoring
Condition monitoring is a form of predictive maintenance where continuous monitoring of the condition of specific areas of plant and equipment takes place. When any pre-defined limit is exceeded, an alarm output is turned on. This alarm output can be input to a CMMS so that a work order will be generated immediately. This is particularly suited to continuous process plant, say paper mills, where plant failure could be extremely costly.
Typical conditions, which can be monitored, are temperature, vibration, over voltage or current and liquid level; in fact any condition that can be detected by a sensor.
As an example, a diesel generator in a power station may have bearings on the main drive shaft which, when failing, cause a critical shut down of the equipment. Maintenance history has shown that the failure can be predicted by monitoring the temperature and vibration patter from the bearings. Sensors are set such that they will switch when either of the two parameters being monitored reaches a level, which indicates that the bearing has approximately two month's life. When this occurs, the engineer in charge can program a shutdown to allow the necessary maintenance to take place at a suitable time.
Condition Monitoring
Condition monitoring is a form of predictive maintenance where continuous monitoring of the condition of specific areas of plant and equipment takes place. When any pre-defined limit is exceeded, an alarm output is turned on. This alarm output can be input to a CMMS so that a work order will be generated immediately. This is particularly suited to continuous process plant, say paper mills, where plant failure could be extremely costly.
Typical conditions, which can be monitored, are temperature, vibration, over voltage or current and liquid level; in fact any condition that can be detected by a sensor.
As an example, a diesel generator in a power station may have bearings on the main drive shaft which, when failing, cause a critical shut down of the equipment. Maintenance history has shown that the failure can be predicted by monitoring the temperature and vibration patter from the bearings. Sensors are set such that they will switch when either of the two parameters being monitored reaches a level, which indicates that the bearing has approximately two month's life. When this occurs, the engineer in charge can program a shutdown to allow the necessary maintenance to take place at a suitable time.
การแปล กรุณารอสักครู่..
