Predictive Maintenance: How Big Data Analysis Can Improve Maintenance

Abstract

What if an aircraft part could tell you when it needs to be repaired or replaced? With continuous data collection, monitoring and application of advanced analytics, it can. Predictive maintenance in aviation offers the promise of increased reliability along with bolstered operational and supply chain efficiencies. The integration of Cloud-based analytics with industrial machinery has driven the advent of a new “Industrial Internet”—and with it, opportunities for huge productivity gains. Industrial machines equipped with a growing number of electronic sensors can see, hear and feel a lot more than ever before—and deliver enormous amounts of data to be analyzed. Sophisticated algorithms then provide insights that allow us to operate machines—fleets of engines, airplanes, and network entire systems like airlines and airports—in entirely new, more efficient ways. To realize the value in predictive maintenance and achieve business outcomes that matter, machines, data, insights and people need to be brought together.