Rolls-Royce used Microsoft Azure for creation of a system of analytics of a status of engines

On February 20, 2017 the Microsoft company announced release of the system of predictive service by Rolls-Royce company on the basis of intellectual services of Internet of Things and machine learning in Microsoft Azure cloud. The product promotes changes in approaches to diagnostics of airplanes, helps to avoid interruptions in operation of the equipment, to reduce fuel consumption.

On production of Rolls-Royce, (2016)

The system created service-based machine learning in Microsoft Azure cloud traces and analyzes data arrays, arriving from the sensors installed in airplanes. By means of technology of Rolls-Royce of airline can create working models, create recommendations about improvement of diagrams of flight or maintenance, to define operational anomalies and scarcely noticeable errors of flight data, developing solutions for prevention them in the future.

Thanks to the developing technologies and impressive predictive analytics we help our clients to implement new opportunities. Nick Farrant, senior vice president of Rolls-Royce

Based on collected information and analyzing the forecasts created earlier, the Rolls-Royce service offers recommendations and specifies the factors having the greatest impact on fuel consumption as main source of expenses.

Data analysis, received from each element of the aircraft and its engine, their comparison with similar data of other airplanes allow the program to warn about inefficient work of a specific element and to recommend its replacement or service even before achievement of a certain life. To the contrary, if the term after which it is necessary to execute service of a part comes to an end, but it works rather steadily, the decision to postpone the procedure of replacement can be made. It allows to cut down expenses and to increase security, preventing serious breakdowns.

Permanent increase in amounts of data which we receive from the equipment of our clients creates certain difficulties in work. Microsoft proposes the solution from a cloud of Azure which ensures safety and smooth operation with any types and information volumes. Using different operational data, machine learning and analytics for detection of thin correlations, we can optimize our models and reduce failures in work of our clients. Richard Beesley, the chief architect on date to services, Rolls-Royce