Enhancing Predictive Maintenance in Complex Aviation Systems Through Prognostics and Health Management
摘要
The synergy between PHM and PdM is central to achieving predictive maintenance and cost efficiency. This paper analyzes the benefits of predictive maintenance, identifies the challenges of implementing this technology in the aviation manufacturing field, and its future development trends. By integrating PHM systems with ground-based infrastructure, an intelligent collaborative framework is established. This framework not only enables real-time health monitoring and accurate failure prediction, but also provides data-driven repair decision support to optimize maintenance actions. As a result, this approach significantly reduces ineffective maintenance while enhancing the operational readiness of aviation equipment. PHM enhances predictive maintenance by enabling data optimization, model iteration, and architectural advancements. These improvements shift maintenance strategies from reactive to proactive approaches. Addressing the demands of complex aviation systems requires strengthening predictive decision-making capabilities and refining intelligent maintenance support systems. These measures collectively establish efficient lifecycle management solutions for advanced aviation systems, ensuring reliability and cost-effectiveness.