How Predix evolved the accepted limits of predictive maintenance

Matt Benvie sits down with VJ Singh, GE Aviation’s Executive Director of Fleet Support, a team that uses real-time data and advanced analytics to help airline customers maximize jet engine performance. They discuss: VJ’s 15-year career in the field supporting airline customers’ engines (1:05-2:05); the shortfalls of GE’s legacy engine monitoring system used for the past 30 years (2:05-3:50); the benefits of GE’s new monitoring system(Predix), how it detects customer problems the old system couldn’t (3:50-6:00); specific examples where Predix fixed problems once thought unsolvable (6:00-8:00); how a customer is alerted to a potential problem and how it’s solved before it occurs (8:00-10:45); how Predix improved prediction accuracy from 70% to 86%, saving customers from spending unnecessary time on maintenance (10:45-12:05); how Predix will evolve over the coming years (i.e. more lead time for service activity) to better serve airline customers predictive (12:05-14:05).