文档介绍：Predictive maintenance methods mentioned in the QS9 standard are identified by the type of equipment you are operating. If you have machinery that uses items such as gear boxes, then you should consider having vibration analysis done on them (if they are considered key manufacturing equipment). Here the analysis would detect gear wear or possible fractures of the gears. If you have equipment that uses control boards which contain electronic circuits, then you need to look at IR testing of the circuits. This analysis would detect "hot spots" on the circuit which may mean that ponent is beginning to break down. If the equipment you are running uses lubricating fluids such as oil, then you would look at using a lab to do fluid analysis. Here you would look for oil breakdown or contamination levels. If your equipment uses perishable tooling such as drill or milling bits, you would set up a program to measure tool wear to anticipate failure. For the first three methods, panies can do this. You could probably do this last one. (You could even track MTBF of these parts in order to improve wear by using different vendors, different coatings of bits,etc.)
Steven,
"Predictive" seems, to me, another term for "Preventive". If you have a Preventive Maintenance "Process", I wouldn't sweat it. Another standard making its presence known by changing the accepted terminolgy?
At the risk of spouting gobbledygook (sp?) here is my take on it.
Predictive maintenance is indeed preventive maintenance, but all preventive maintenance is not predictive. In other words, predictive uses data gathered from the equipment (wear, vibration, etc.) to optimize the interval between instances of a specific maintenance task.
For instance: Why shut down right now to do prev. maint., when predict. maintenance (data gathered) tells us we can go another 100 hours?
Or: It does not matter what the manual says, the oil analysis tells us that the main bearings are toast, and if we don't shut down now,