With the rapid development of artificial intelligence (AI), traditional big data technology is experiencing a new intelligent upgrade in the application of aircraft engine design and manufacturing. The core algorithms of AI rely on high-quality, multidimensional big data as the foundation, and big data enable deeper insights and decision-making capabilities to be obtained through AI. This chapter discusses how to drive engine design, research and development, and manufacturing efficiency and innovation breakthroughs through big data-driven AI technology and how to promote the efficient operation of aircraft engine design optimization, intelligent manufacturing, and full lifecycle management. This chapter also introduces related cases to show how big data empower AI and ultimately accelerate the transformation of aircraft engines toward “digital intelligence”. Finally, this chapter looks forward to the future development trends of big data and AI in the field of aircraft engines. It provides readers with a comprehensive and forward-looking perspective and helps them take initiative in the wave of digital intelligence transformation while always remembering that data constitute the cornerstone of AI innovation.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Data-Driven Intelligence Empowers Next-Generation Aircraft Engine Innovation

  • Quanyong Xu,
  • Jiali Yang,
  • Wenyu Cao,
  • Zhongzhi Hu,
  • Ai He,
  • Kai Liu

摘要

With the rapid development of artificial intelligence (AI), traditional big data technology is experiencing a new intelligent upgrade in the application of aircraft engine design and manufacturing. The core algorithms of AI rely on high-quality, multidimensional big data as the foundation, and big data enable deeper insights and decision-making capabilities to be obtained through AI. This chapter discusses how to drive engine design, research and development, and manufacturing efficiency and innovation breakthroughs through big data-driven AI technology and how to promote the efficient operation of aircraft engine design optimization, intelligent manufacturing, and full lifecycle management. This chapter also introduces related cases to show how big data empower AI and ultimately accelerate the transformation of aircraft engines toward “digital intelligence”. Finally, this chapter looks forward to the future development trends of big data and AI in the field of aircraft engines. It provides readers with a comprehensive and forward-looking perspective and helps them take initiative in the wave of digital intelligence transformation while always remembering that data constitute the cornerstone of AI innovation.