【24h】

Fault diagnosis design based on qualitative simulation

机译:基于定性仿真的故障诊断设计

获取原文
获取原文并翻译 | 示例

摘要

Based on the QSIM reasoning of Kuipers, comparative constraint is presented to reduce the diagnosis space. The transfer regulation of qualitative constrain is used in the simulation and reasoning of system diagnosis. This arithmetic takes observed faulty state as the beginning, to diagnosis the discrepancy of variable and location of the causation according to the transfer regulation of qualitative constraint, reasons from faulty diagnosed to examine the result and delete the redundancy of diagnosis result. In the example of Condensation refrigeration system, the constraint relation is built according to qualitative difference equation. Aim at the bad efficiency of refrigeration, the mixture of air or Freon superfluously is diagnosed as the result faulty source, is consistent with the factual system.
机译:基于柯伊珀斯的QSIM推理,提出了比较约束以减少诊断空间。定性约束的传递规律用于系统诊断的仿真和推理。该算法以观察到的故障状态为起点,根据质性约束的传递规律,诊断因果关系变量和位置的差异,从故障原因中诊断出检查结果并删除诊断结果的冗余。在冷凝制冷系统的例子中,约束关系是根据定性差方程建立的。针对制冷效率低下,多余的空气或氟利昂的混合物被诊断为故障源,与实际系统相符。

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