REDUCING DOWNTIME THROUGH THE USE OF PREDICTIVE ANALYTICS AND TECHNICAL TRAINING ADVANCEMENTS WP-0007
The exponential increase in the number of aircraft and air travelers has triggered new innovations aimed to make airline services more reliable and consumer friendly. Quick and efficient maintenance actions with minimum downtime are the need of the hour. Another major challenge is ensuring maintenance personnel are trained effectively; technology like augmented reality and Virtual Maintenance Trainers (VMTs) may provide safe and efficient training in lieu of live, instructor-led arrangements. And while traditional User/Maintenance Manuals provide useful information when dealing with simple machines, when dealing with complex systems of systems and miniaturized technologies, like unmanned aerial vehicles (UAVs), new technologies like augmented reality can rapidly and effectively support the maintenance operations. Reducing Downtime Through Predictive Analytics And Technical Training reviews the major areas of opportunity to reduce downtime through big data and predictive analytics, simulating maintenance procedures and operational availability, and virtual maintenance training.
Citation: "REDUCING DOWNTIME THROUGH THE USE OF PREDICTIVE ANALYTICS AND TECHNICAL TRAINING ADVANCEMENTS," SAE Technical Paper WP-0007, 2018. Download Citation
Due to current capacity constraints, printed versions of our publications - including standards, technical papers, EDGE Reports, scholarly journal articles, books, and paint chips - may experience shipping delays of up to four to six weeks. We apologize for any inconvenience.