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通过实验选择空调制冷系统故障诊断检测参数 被引量：3

SELECTING MEASURING PARAMETERS OF FAULT DIAGNOSIS IN AIR-CONDITIONING REFRIGERATION SYSTEM
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摘要 空调制冷系统是一个比较复杂的系统 ,应通过搭建故障诊断实验台 ,获得诊断程序中所需的故障范例集。本文共模拟了十一种故障 。 Air-conditioning refrigeration system is a relatively sophisticated system. Experimental rig is necessary to obtain the paradigms of the fault diagnosis program.11 faults are simulated in this paper and relationship between faults and causes the parading set are gotten.
作者 王志毅 谷波 欧永梅
机构地区 上海交通大学制冷与低温工程研究所
出处 《制冷与空调》 2003年第2期14-18,共5页 Refrigeration and Air-Conditioning
关键词 空调 制冷系统 故障诊断 检测参数 制冷剂 refrigeration system fault aiagnosis experiment refrigeration paradigm
分类号 TU831 [建筑科学—供热、供燃气、通风及空调工程]
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参考文献5

  • 1陈丽萍.人工神经网络在蒸气压缩式制冷系统在线故障诊断专家系统中的应用[D].上海交通大学,1997.
  • 2王晓明.制冷系统故障先兆分析和故障预报技术研究[D].上海交通大学,1998.
  • 3余江海.一种制冷系统故障诊断方法[D].上海交通大学,2000.
  • 4S. Don Swenson, Troubleshooting and servicing air conditioning equipment, Boston, Massachusetts: Breton Publishers 1985.
  • 5Billy C. Langley, Air conditioning and refrigeration troubleshooting handbook, Reston Virginnia:Reston Publishing Company Inc 1980.

同被引文献18

  • 1刘素华,韩萍.基于遗传算法的模糊模式识别及其应用[J].计算机工程与设计,2005,26(4):932-934. 被引量：9
  • 2EIBEN A E, ARTS E H, VAN H K M. Global convergence of genetic algorithm: an Infinite Markov chain analysis[A]. In Parallel Problem Solving from Nature (PPSN1)[C]. 1991.4-12.
  • 3RUDOLPH G. Convergence analysis of canonical genetic algorithms[J]. IEEE Transactions on Neural Networks, 1994,5( 1 ):86-101.
  • 4WHITELY D, YOO N W. Modeling Simple Generic Algorithm for Permutation. In: Foundation of Genetic Algorithms[M]. Morgan Kaufmann Publishers, 1994. 115-137.
  • 5WHITLEY D.The Genitor Algorithm and Selection Pressure: Why Rank- Based Allocation Reproduction TriMs is Best[A]. In: Schaffer J, Proceeding of the 3rd International Conference on Genetic Algorithm[M]. Morgan Kaufmann Publishers, 1989.
  • 6Patton R J, Frank P M, Clark R N. Fault Diagnosis in Dynamic Systems: Theory and Applications [ M ]. Pren- tice Hall, 1989.
  • 7Frank P M. Fault diagnosis in dynamic systems using an- alytical and knowledge-based redundancy-a survey and some new results[ J ]. Automatica. 1990,26:459-474.
  • 8Isermann,P. Process fault detection based on modeling and estimation methods-a survey [ J ]. Automatica. 1984,20 : 387 -404.
  • 9Zhang J, Roberts P D, Ellis J E. Fault diagnosis of a mixing process based on qualitative representation of physical behaviours. Journal of Intelligent and Robotic Systems [ J ]. 1990,3 ( 2 ) : 103-115.
  • 10Zhang J, Roberts P D, Ellis J E. A self-learning fault diagnosis system [ J ]. Transactions of the Institute of Measurement and Control. 1991,13 ( 1 ) :29-35.

引证文献3

二级引证文献6

制冷与空调
2003年 第2期

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