The verification service of the operating condition of a machine or installation, made by DMC, It helps identify whether a machine or group of machines is functioning properly.
The DMC performs verification of the operating condition with the following technologies:
Verification of operating condition, performed by the services of DMC, It can occur in different circumstances:
- Before or after a stoppage for maintenance;
- At the start of a new machine;
- If there is suspicion of abnormal behavior.
Condition Control with Troubleshooting and Problem
Table 1- Condition Control Method Comparison with the Malfunctions and Troubleshooting
|Trend Monitoring||Checking the condition||fault diagnosis and problems|
|Height measures||Readings taken at regular intervals with the machine in service||Readings once with the machine in service||When the problem occurs, or after the occurrence of the fault|
|Qualitative measures||Qualified operators who are near the machine may make a subjective trend||Typical activity when a technician checks a service machine||When a machine for inspection of components may indicate the cause of the problem|
|Quantitative measures||Registration and interpretation of the results of regular measurements gives a warning period compared to machine problems||The numerical values allow comparison with standards or other similar machines knowing the condition of the equipment||Inspection results can be analyzed in considerable detail by providing information on the possible causes of the problem|
- Check the condition takes place by measuring a parameter, at a certain time, thereby inferring the state machine.
- To be effective, the measurement must be accurate, measured values must also be known limits not to be exceeded for more than a certain number of operating hours.
- The limits, to be established, require a wide previous experience with the particular type of machine in question.
- A check of the condition is, therefore, less flexible than the trend-following, especially with regard to the warning time before failure.
The figure shows the results of a study carried out in Great Britain, in 1978 on which industrial sectors that suit the application of predictive maintenance.