In predictive maintenance, data is king.It is invaluable to operators and aircraft and component manufacturers.
But at what cost? Everyone wants it and we are already paying for it in product development costs, repair costs, and the data processing infrastructure.
Predictive maintenance intends to anticipate a component failure through component or system degradation monitoring. It enables the operator to schedule the aircraft for component maintenance or replacement before it turns into an unscheduled failure event, often resulting in a grounded aircraft or, at best, a minor operational schedule disruption.
Predictive analytic programs can be applied to many components or systems on many different aircraft. Although this practice has been going on for decades, the number of aircraft fully designed and developed with this in mind is still relatively small. Predictive maintenance has become quite the buzzword in the last few years and offers operations leadership teams a known variable, which is always better than the alternative.
Opportunities to improve Technical Dispatch Reliability, and on-time performance shouldn’t be ignored. However, organizations often underestimate the volume of information to be secured, skills required to interpret and monitor, and manpower to action or execute identified findings from predictive maintenance programs, making successful execution and implementation difficult.