断层(地质)
分类器(UML)
工程类
计算机科学
任务(项目管理)
汽车工程
控制工程
人工智能
系统工程
地质学
地震学
作者
Weizhong Yan,J.C. Li,Kai Goebel
标识
DOI:10.1177/0142331208092029
摘要
Aircraft engine fault diagnosis plays a crucial role in cost-effective operations of aircraft engines. However, designing an engine fault diagnostic system with the desired performance is a challenging task, because of several characteristics associated with aircraft engines. Geared towards achieving the highest possible performance of fault diagnosis, this paper explores strategies on improving diagnosis performance. Specifically, we introduce flight regime mapping and a two-level multiple classifier system as means to improve classification performance. By designing a real-world aircraft fault diagnostic system, we demonstrate that the strategies adopted in this study are effective in improving the performance of aircraft engine fault diagnostic systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI