Aviation Maintenance Magazine – AI/ML is A-OK for aviation maintenance tracking and predictive maintenance
AI/ML’s role in aviation maintenance software systems for maintenance tracking and predictive maintenance offers enhanced safety, cost savings, real-time insights and tailored maintenance strategies
According to Ottawa, Ontario, Canada-based research firm Precedence Research, the global artificial intelligence (AI) in aviation market size was estimated at $653.74 million in 2021 and it is expected to surpass $9 billion by 2030 with a registered CAGR of 35.38% from 2022 to 2030. This “super-smart” aviation software is changing operations and shaping the industry’s future, in addition to modernizing operations.
Artificial intelligence and machine learning (ML, a subset of AI) improves aviation services and smooths operations like maintenance tracking and predictive maintenance. An AI-powered system can inspect an aircraft for signs of wear and tear, such as cracks or corrosion, and then generate a report and schedule for necessary repairs. Generative AI can analyze data from sensors and other sources, comparing it to historical data to predict potential failures and optimize maintenance schedules. Because of its machine-learning algorithms, which can suggest optimal maintenance actions, such as repair, replacement, or adjustment, expensive delays can be minimized and passenger safety is guaranteed.
With real-time monitoring, Nicolas Decroix, product manager at Swiss Aviation Software, Basel, Switzerland, agrees that AI-powered systems can indeed continuously monitor the performance of various aircraft components, identifying deviations from normal operating parameters.
Read the full article just published in AVIATION MAINTENANCE MAGAZINE below https://lnkd.in/gs43UQ98
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Mark Robins, Nicolas Decroix, Elza Brunelle-Yeung, Monica Badra Neo, Simon Miles, Justin Daugherty, Bobby Anderson, Alan Sternberg, Nicole Tibbetts