
In all production facilities, the success of most business operations is closely tied to the performance of their maintenance operations. On a busy plant floor, for example, all it takes is for a critical machine to breakdown mid-production and the ripple effects begin; from lost deadlines to stressed staff, wasted materials, and so on.
Identifying exactly when an asset will fail still remains a big priority and “tools” like the p-f curve are here to guide us in the right direction.
There has been much discussion (and often debate) around the P-F curve. The P-F curve illustrates the relationship between the warning signs that are detectable by various technology or methods and the progression of the failure. What is often not discussed and overlooked, is what happens before the
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