Research on the Application of Artificial Intelligence in Ship Lifecycle Assurance

This study examines the practical integration of artificial intelligence (AI) throughout ship lifecycles, covering design, construction, and operational maintenance. Using data analysis approaches, intelligent optimization and simulation methods, automated manufacturing processes, and predictive maintenance techniques, the research demonstrates how these technologies can improve design quality, construction efficiency, and operational reliability. We analyze specific solutions—including intelligent monitoring systems, enhanced fault diagnosis accuracy, and digital quality control—to evaluate their impact on transforming conventional shipbuilding practices. The results propose implementation pathways for the industry's intelligent transition, offering practical solutions for achieving lifecycle reliability and sustainable shipping operations.