期刊文献+

基于人工神经网络的制冷机组泄漏故障诊断 被引量:2

Leakage Fault Diagnosis in Refrigerating Units Based on Neural Networks
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摘要 研究了冷库制冷机组制冷剂泄漏的特征 ,分析了泄漏引发的流量和压力参数变化情况 ,并提取了反映泄漏故障的特征指标 ,建立了能对制冷机组运行状态进行分类的神经网络模型 。 The characteristics of refrigerant leakage fault in refrigerating units are analyzed and a series of characteristic indexes of pressure signals are described to extract the information of leakage fault . A backpropagation neural network model with the input matrix composed of the characteristic indexes of pressure is proposed to classify the running state of refrigerating units in order to diagnose and forecast the leakage fault.\;
出处 《机电工程》 CAS 1999年第6期35-36,共2页 Journal of Mechanical & Electrical Engineering
关键词 制冷机组 泄漏 故障诊断 人工神经网络 冷库 Refrigerating units Leakage fault ANN Pressure Diagnosis
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参考文献4

  • 1胡守仁.神经网络应用技术[M].长沙:国防科技大学出版社,1995..
  • 2庄镇泉.人工神经网络与神经计算机[M].北京:科学出版社,1994..
  • 3任喜岩,傅维胜.螺杆制冷机组数据采集系统[J].机电工程,1997,14(3):30-31. 被引量:2
  • 4傅周东.液压系统泄漏故障诊断技术研究:学位论文[M].杭州:浙江大学,1996..

共引文献15

同被引文献16

  • 1A. Chouai, S. Laugier, D. Richon. Modeling of thermodynamic properties using neural networks Application to refrigerants.Fluid Phase Equilibria. 199(2002)53 - 63.
  • 2Arturo Pacheco- Vega, Mihir Sen, K. T. Yang, Rodney L. McClain. Neural network analysis of fin - tube refrigerating heat exchanger with limited experimental data. International Journal of Heat and Mass Transfer 44 (2001)763 - 770.
  • 3P. Niyogi,F. Girosi. Generalization bounds for function approximation from scattered noisy data. Adv. Comput. Math. 10 ( 1 )(1999) 51 - 80.
  • 4S. A. Kalogirou. Applications of artificial neural networks in energy systems A review. Energy Conversion & Management 40(1999) 1073- 1087.
  • 5H. Bechtler, M. W. Browne, P. K. Bansal, V. Kecman. New approach to dynamic modelling of vapour - compression liquid chillers:artificial neural networks. Applied Thermal Engineering 21 (2001) 941 -953.
  • 6杨光友 陈原 周国柱.基于振动的蚕茧无损检测中振动信号的模糊聚类特征优选方法[J].中国机械工程,2003,14:64-66.
  • 7GB 9111-88 GB 9176-88,中华人民共和国国家标准--桑蚕茧(干茧)分级和检验方法[S].
  • 8Mallat S, Huang W L.Singularity detection and Processing with wavelet [J]. IEEE Trans on information Theory, 1992,38 (2):617~643.
  • 9高新波.模糊聚类分析[M].西安:西安电子科技大学出版社.
  • 10Abhiit S.Pandya Robert B.Macy.神经网络模式识别及其实现[M].北京:电子工业出版社,1999:17~30.

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