Exploit the full value of aerospace field dataDo you work with aerospace systems and collect large quantities of data? Do you manage fleets’ reliability and failure reports? Would you like to exploit the full value of your data to optimize your maintenance operations?...
Lovejinder Singh

Implementation of a Predictive Maintenance Method based on Deep Learning for Aviation
BIG DATA TO IMPROVE AEROSPACE OPERATIONS In this article, we explain the development of a Predictive Maintenance Deep Learning methodology based on Big Data. The term “Big data” is widely spread these days in technological industries such as aerospace. Collecting a...
Cybersecurity requirements for airborne systems
In the past years, the aircraft systems and components have increased the data connections between them. These connections are delicate links susceptible to security threats. This is the major reason EASA started to work on a Cybersecurity framework for aerospace in...
Best practices for an effective FRACAS implementation
FRACAS (Failure Reporting, Analysis, and Corrective Action System) is one of the most extended methodologies for reliability analysis in the aerospace industry. FRACAS provides a structured process for the calculation of reliability parameters such as the Mean Time...