CFM International is enhancing its engine health monitoring capabilities for LEAP-1A and LEAP-1B engines withthe updated system utilizing machine learning algorithms to analyze data from engine sensors during the phases of flight.
CFM International, a joint venture between GE Aerospace and Safran Aircraft Engines, is enhancing its engine health monitoring capabilities for LEAP-1A and LEAP-1B engines. With the LEAP engine fleet nearing 50 million flight hours and more operators coming on board, the introduction of machine learning to the monitoring system marks a significant advancement in predictive maintenance. As CFM International continues to innovate and collaborate with its partners, the future of aviation maintenance and operations looks promising, with advancements in predictive analytics driving greater efficiency and safety across the industry.
The updated system utilizes machine learning algorithms to analyze data from various engine sensors during different phases of flight, such as takeoff, climb, and cruise. By employing probabilistic diagnostic and prognostic tools, the system can generate more accurate operational models and provide targeted alerts based on known engine operating patterns. This leads to earlier detection of potential issues, allowing operators to take proactive maintenance measures.
“With the combination of this health monitoring system and the expertise of our global CFM fleet support team, we have achieved 60 percent earlier lead time in identifying preventative maintenance recommendations, a 45 percent increase in detection rates, and cut the number of false alerts in half over the past decade,” said David Harper, Fleet Support Director, CFM parent company GE Aerospace.
CFM International has a rich history of utilizing health monitoring systems on engines like the CFM56, gaining valuable experience and expertise over the years. The incorporation of machine learning into the LEAP engine monitoring system builds on this foundation, resulting in improved accuracy, earlier detection, and reduced false alerts.
The collaboration between CFM International and its operator base exemplifies the industry’s commitment to leveraging technology for continuous improvement in aviation safety and efficiency. By harnessing the power of machine learning and data analytics, CFM is setting new standards for engine health monitoring and predictive maintenance in the aviation sector.
“These state-of-the-art analytics are providing LEAP operators with the data they need to make informed, insightful decisions about fleet management,” said Agathe Venard, Head of Fleet Data Engineering, CFM parent company Safran Aircraft Engines. “As a result, they gain a level of fleet stability they can rely on in their day-to-day operations,” he further added.
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CFM International’s contributions to commercial aviation extend beyond engine technology. Since its inception in 1974, the joint venture has played a pivotal role in shaping the industry’s trajectory, providing engines that prioritize efficiency, reliability, durability, and cost-effectiveness. The LEAP family of engines, along with ongoing support for CFM56 fleets, underscores CFM’s position as a global leader in commercial aircraft engines.
