Several industries have been studied to find out what the pattern of failure looks like. It has not surprised maintenance managers that the majority of failure occurs from random events with age-related failures creating only 11% of the total number of failures. These curves have been found in the paper industry, airlines, and the US Navy and a wide variety of industries continue to exhibit the same patterns of failure.
Several industries have a great history of using Preventative Maintenance tasks and procedures. But this is a time-based approach that can violate the maxim “if it ain’t broke, don’t fix it”. But additionally, PM does not have a way to discover when failure is imminent due to a random event, an infantile part failure, an installation that was not within spec, or another non-time-based approach.
Having the knowledge of how healthy or ill your machines are, places you in control over planning when the best time to repair or replace components. PDM can help on a production line in a manufacturing environment, a wastewater treatment plant, in a power plant, a mine, or a bakery to name some examples.
Just like a doctor checks your blood pressure, temperature, lung sounds, etc, maintenance personnel can use PdM tools to collect valuable information about the health of your machines, both at installation and farther along in time.
Repairs take less time and money compared to the replacement of failed equipment.