摘要
针对单、双级耦合热泵系统结构的复杂性和运行模式的多样性,本文将分布式人工智能技术引入到该热泵系统的故障诊断技术研究中,提出一种适用于单、双级耦合热泵系统的分布式故障诊断专家系统,并深入研究该故障诊断专家系统的任务分解、各子任务的求解和各子任务的综合等关键问题。在此基础上,利用人工神经网络,实现专家系统内部各诊断模块的运行状态实时监测和故障快速推理,构建出单、双级耦合热泵分布式故障诊断专家系统的模型,为开发基于ANN的单、双级耦合热泵分布式故障诊断专家系统奠定研究基础。
According to the variety and complexity of the single-double stages coupled heat pump system＇s （SDSHPS） operation modes, introduces the distributed artificial intelligence technology to its fault diagnosis research, puts forward a distributed fault diagnostic expert system suited for SDSHPS, and studies the task assignment, the subtask＇s solution and its colligation. Afterwards, realizes the operation stage inspection on-line and rapid fault reasoning of all the FDD modules in the expert system by applying artificial neural network （ANN）, and establishes the model of distributed fault diagnostic expert system for SDSHPS, which could offer research basis to the development of distributed fault diagnostic expert system for SDSPS based on ANN framework.
出处
《制冷与空调》
2007年第6期22-27,共6页
Refrigeration and Air-Conditioning
基金
国家自然科学基金项目(50278021)
教育部留学回国人员科研启动基金资助项目
关键词
单、双级耦合热泵系统
故障诊断
分布式
人工神经网络
single-double stages heat pump system
fault diagnosis
distributed
artificialneural network （ANN）
