By AVM SN Murti (Retd)
Aircraft maintenance has evolved significantly since the early days of commercial aviation. Initially, maintenance was mainly visual, with repairs attempted by trial and error. Post-World War II standardization, scheduled maintenance, and airworthiness became priorities. The introduction of commercial jets and wide-body aircraft in the 1960s-70s led to the development of specialized maintenance teams and the use of advanced technologies, like Non-Destructive Inspection. In India, the Directorate General of Civil Aviation (DGCA) was established in 1977 to regulate and oversee civil aviation, ensuring safety, security, and airworthiness standards.
Development of Aircraft Maintenance
Aircraft maintenance remains largely preventive and scheduled, despite technological advancements. Minor variations have been introduced for flexibility but grounding time for maintenance hasn’t reduced significantly. The industry’s reliance on outdated philosophies is concerning, especially for 82% of aircraft systems and components. This inefficiency is exacerbated by a scarcity of engineers, leading to sub-par maintenance by overextended workers. Overall, the traditional approach to maintenance is no longer sufficient.
Research shows that age-based maintenance applies to only 18% of aircraft systems, while condition-based maintenance is more effective for the remaining 82%. Adopting condition-based strategies can lead to significant cost savings. The integration of Artificial Intelligence (AI) is transforming aircraft maintenance, shifting from preventive to predictive approaches. Real-time data analysis and technologies like IoT-enabled monitoring, data analytics, and drone-based inspections are gaining momentum, aiming to minimize downtime and enhance safety. This approach is likely to reshape the future of aircraft maintenance operations.
Preventive and scheduled maintenance generally lead to over-maintenance and being repetitive and monotonous, at many occasions induce human errors. Despite rigorous scheduled maintenance, breakdowns still occur, contributing 20-30% of total maintenance time in an aircraft’s life cycle. Unscheduled breakdowns are a primary cause of operational disruptions and financial losses, with significant implications for military aircraft operational inability.
TRANSITIONS IN AIRCRAFT MAINTENANCE
Aircraft maintenance has evolved to reduce downtime and labour costs, with operators adopting new philosophies like Progressive Maintenance. This approach splits maintenance into smaller packages, prioritizing critical tasks and scheduling others over a defined period. Another concept, “IRAN” (Inspection and Repairs As Necessary), is used for non-safety critical systems, requiring high technical expertise and complex decision-making. Both approaches rely on accurate data interpretation and error-free record-keeping. These modern maintenance strategies aim to increase flexibility and efficiency.
AI-POWERED SOLUTIONS IN AIRCRAFT MAINTENANCE
The integration of AI and advanced technologies in aircraft maintenance is transforming the industry through predictive maintenance. By leveraging machine learning algorithms and real-time data, predictive maintenance forecasts potential equipment failures, enabling a shift from traditional scheduled maintenance to a condition-based approach. This approach reduces unplanned downtime, optimizes maintenance resource allocation and decreases human errors. Predictive maintenance is performed based on the actual condition of the aircraft system or component, rather than on a fixed schedule. This leads to increased aircraft operational availability, improved safety, and reduced maintenance costs.
Predictive maintenance has positive impact on new and legacy aircraft. Legacy aircraft utilize extensive maintenance experience and historical data, while newer aircraft leverage onboard sensors and connectivity to generate more data and predict potential failures. Broadly, in near future, airlines fall under three categories, those that focus on manual reporting for regulatory compliance, those that use digital tools for real-time monitoring and those that adopt data analytics for predictive maintenance and informed decision-making.
The future of aircraft maintenance is evolving with technological advancements requiring critical skills. Key trends include predictive maintenance, drone inspections, advanced robotics, Augmented and Virtual Reality (AR/VR) for training and maintenance, digital twinning and RFID technology for inventory management. To remain competitive, Indian MROs must adapt to these changes.
