"Seven start-ups have been selected for the second season out of 137 applicants from 9 countries. "The overwhelming response to our Bengaluru call for applications, the quality of ideas and the passion of entrepreneurs; it's just quite something. Each start-up we have selected carries the potential to shape the future of aerospace. Our job is to help them realize their potential." said Bruno Gutierres, Global Head Airbus BizLab" Read More
Mathematics, Statistics, and Data Science is an essential part of the technology industry today and provides answers to complicated and challenging problems. Artificial intelligence algorithms, over time, are capable of comprehending patterns and correlations between disparate sources of information, which the human brain cannot compute. Through artificial intelligence the application brings more certainty to stochastic events that, in turn, positively impacts the complete process down the line; resources and infrastructure can be better planned.
Our aircraft structural health diagnostics and prognostics comprise the acquisition of large data sets from aircraft sensors (including several sub-systems-avionics, landing gear, engine, etc.). Data adapters will transform these data sets to a neutral format data lake. This transformation will enable almost real-time anomaly fault detection, isolation, and potential degradation alerts. Suggested actions will reduce operating costs and increase safety and reliability of the fleet.
The platform captures isolated sources of data to reveal important information about the health of the engine.
Our approach helps to detect anomalies by producing an early-warning detection system. The alerts increase fleet reliability. Line and hangar maintenance shops can be assured of higher parts availability, higher throughput, reduced no-fault-found (NFF) incidences, parts inventory, and maintenance costs.
Technology enhancements and the emergence of big data present real-time, high-impact decision making capability. Conventional reporting is superseded by the predictions of likely activities during downtimes, reducing the unknown and unscheduled tasks, parts and skills requests. The enhanced visibility and increased on-condition monitoring suggests a better plan for reducing maintenance budgets significantly. Our Predictive Maintenance Services will be running 24 x 7 to identify weak spots and activities that need attention. Allow the service to demonstrate itself while you calculate your ROI.
Address key questions in the most intuitive and cost effective manner and understand how this service can bring down your inventory capital costs:
• How many spares should be provisioned? Are they really needed?
• Where should they be located?
• What Risk Levels are associated with improper positioning?
• How can Service Levels be increased keeping minimal costs?