秦福星;吕飞;孙昌将;
1:海军蚌埠士官学校机电系舱段教研室
摘要：一般情况下,级差式空压机各级缸互相影响,使得空压机的测量数据存在着不确定信息,增加了空压机故障诊断的难度。BP神经网络可用于模式识别和分类,非常适合于级差式空压机的故障诊断。
关键词： 空压机;;故障诊断;;BP
Abstract: Interaction of pistons in the
differential air compressor has impact on data measurement of the air
compressor and so has fault diagnosis much difficult.BP network provides a
mechanism for adaptive pattern classification and may be used to do fault
diagnosis on the air compressor.
Keywords: Compressor;Fault Diagnosing;BP
Network
参考文献：
[1]张玲.人工神经网络理论及其应用[M].浙江:浙江科学技术出版社,1997.
[2]李学桥.神经网络工程及应用[M].重庆:重庆大学出版社,1995.
[3]沈世镒.神经网络系统理论及其应用[M].北京:科学出版社,1998.
[4]李进,金聪颖.神经网络在电路诊断中的应用[J].测试技术学报,2002,16(3):230-235.
[5]张定会,邵惠鹏.基于神经网络的故障诊断推理方法[J],上海交通大学学报,1999,8(5):619-621.
[6]Salama A E,Starzyk J A,Bandler J W.A
unified decompo-sition approach for fault location in large analog
networks[J].Intelligent Systems and Signal Proce ssing,1984.31(7):609-621.
[7]He Y G,Li Y,Liu M R.BP neural network
approach tomodule fault diagnosis for large analog circuit[C],Proc.ofTENCON
2004.IEEE Region 10th Conference,2004:395-398.
[8]Hu M,Wang H,Hu G,etal.Soft fault
diagnosis for analogcircuits based on slope fault and BP neural
networks[J].Ts-inghuascienceandTechnology,2007,12:26-31.
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