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模糊关联方法在齿轮箱故障诊断中的应用 被引量:5

The application of illegibility associated degree method in diagnosis of gear box failure
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摘要 模糊关联度故障识别方法是运用灰色系统理论与模糊数学隶属函数相结合 ,克服了故障诊断的模式向量中参数量纲不同、数量级差异的缺点 ,综合了灰色系统理论和模糊理论的优点 ,使故障诊断识别的多参数法更加完善。但此种方法的关键是隶属函数建立的可靠性 。 Failure identify method of illegibility associated degree is united with Gray system theory and subjected function in Illegibility mathematics,which conquers the disadvantage of difference of parameter dimension and magnitude,and integrates the virtue of Gray system theory and Illegibility theory,makes multi-parameter failure diagnosis method more perfect.The crisis of the method to the accuracy of the failure diagnosis is related to the credibility of the founded subjected function.
出处 《沈阳航空工业学院学报》 2003年第2期21-22,共2页 Journal of Shenyang Institute of Aeronautical Engineering
关键词 模糊关联方法 齿轮箱 故障诊断 故障识别 隶属函数 illegibility associated degree subjected function failure identify
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  • 1李华,梅卫江,赵永满,单志鹏.齿轮典型故障特征分析及其振动信号处理方法[J].湖南农机,2014(3):59-60. 被引量:5
  • 2夏庆观.基于DataSocket和小波消噪的齿轮故障远程监测与诊断[J].现代制造工程,2004(2):90-92. 被引量:1
  • 3CHENGJun-sheng YUDe-fie YANGYu.A Method for Gear Fault Diagnosis Based on the Empirical Mode Decomposition[J].International Journal of Plant Engineering and Management,2004,9(4):230-235. 被引量:4
  • 4魏秀业,潘宏侠.齿轮箱故障诊断技术现状及展望[J].测试技术学报,2006,20(4):368-376. 被引量:37
  • 5Meltzer G, Nguyen P D. Fault diagnosis in gears operating under non-stationary rotational speed using polar wavelet amplitude maps [J]. Mechanical Systems and Signal Processing ,2004(18): 985-992.
  • 6Lai Wuxing, Tse P W, Zhang Guicai, et al. Classification of gear faults using cumulates and the radial basis function network[J]. Mechanical Systems and Signal Processing, 2004, 18(2): 381-389.
  • 7Wang Wenyi, Wong A K. Autoregressive model based gear fault diagnosis [J]. Journal of Vibration and Acoustics, 2004, 124(4): 172-179.
  • 8Bocaniala C D, Da Costa J S, Palade V. Refinement of the diagnosis process performed with a fuzzy classifier[J]. Lecture Notes in Artificial Intelligence, 2004 (3215) : 365-372.
  • 9Wilson W, Fathy I. A neuro-fuzzy approach to gear system monitoring[J]. IEEE Transactions on Fuzzy Systems, 2004, 12(5):710-723.
  • 10Chen Peng, Liang Xinying,Yamamoto T. Rough sets and partially-linearized neural network for structure fault diagnosis of rotating machinery [J]. Lecture Notes in Artificial Intelligence, 2004(3174) : 574-580.

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