98 million terabytes of data – that is what the OEMs, airlines and MRO service providers will have to grapple with, come 2026. This is the amount of data that is likely to be generated by the global fleet of commercial airlines, according to an Oliver Wyman MRO survey. Collating all this data and running analyses, aided by smart technology is the way forward for applying predictive engine maintenance and health monitoring systems in business processes of aviation companies.
All this load of engine sensor data, along with digital monitoring, artificial intelligence led big data analysis, use of cutting-edge technology like creation of Digital Twins (digital modelling of engines), are applied to achieve Predictive Engine Maintenance (PEM), or the ability to predict expensive and at times, critical failure before they occur.