首页> 外文会议>Conference on artificial intelligence for applications >Lessons learned from IFES, a full-scale diagnostic in-flight expert system demonstration
【24h】

Lessons learned from IFES, a full-scale diagnostic in-flight expert system demonstration

机译:从iFES中汲取的经验教训,一个全规模诊断在飞行中专家系统示范

获取原文

摘要

Summary form only given. The in-flight expert system (IFES) demonstration is a research and development project in the area of vehicle health monitoring (VHM). The overall objective of this continuing project is to develop a complete inflight fault detection, identification and reconfiguration expert system demonstration using real-time data and hardware. IFES was implemented, using the OPS83 production system, as a distributed system of IBM 286 and 386 PCs. A few lessons learned were that the production system's CPU performance timing and memory use are adequate for real-time VHM systems; noisy data can increase RETE algorithm processing time by 20%; system reconfiguration input-output timing dominates CPU execution timing during fault identification 90% of the time; and OPS83, although excellent for failure detection applications, was not as well suited as Ada for the procedural nature of fault identification applications.
机译:摘要表格仅给出。飞行中专家系统(IFES)示范是车辆健康监测领域的研发项目(VHM)。这种持续项目的总体目标是使用实时数据和硬件开发完整的机器故障检测,识别和重新配置专家系统演示。使用OPS83生产系统实施IFES,作为IBM 286和386 PC的分布式系统。一些经验教训是,生产系统的CPU性能时序和内存使用对于实时VHM系统是足够的;嘈杂的数据可以将RETE算法处理时间提高20%;系统重新配置输入 - 输出定时在故障识别期间主导CPU执行时序90%的时间;和OPS83虽然对于故障检测应用优异,但对于故障识别应用程序的程序性质并不适用于ADA。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号