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A compound interpolation envelope local mean decomposition and its application for fault diagnosis of reciprocating compressors

机译:复合插值包络局部均值分解及其在往复式压缩机故障诊断中的应用

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摘要

Local mean decomposition (LMD) is a self-adaptive analysis method which can decompose a signal into a set of product function (PF) components, and the construction of envelope function plays an important role in the accuracy of its PF components. According to the local nonstationary characteristics of vibration signals, a compound interpolation envelope (CIE) LMD was proposed through a novel envelope construction method. By defining an nonstationary coefficient to evaluate the local nonstationary characteristics of vibration signals, an compound envelope construction method which use Monotonic Piecewise Cubic Hermite Interpolation (MPCHI) for nonstationary part and Cubic spline interpolation (CSI) for smooth part was proposed, and an CIE LMD algorithm was give based on the novel envelope construction method. A numerical example simulation was conducted to verify the performance of CIE LMD, results indicated that CIE LMD outperforms three other methods. The CIE LMD was employed to diagnose the oversized bearing clearance fault in reciprocating compressor, and the envelope frequency spectrum of PF component gives a more significant peak of fault frequency than that of original signal, which further indicates that this proposed method is competent for the diagnosis of reciprocating compressor oversized bearing clearance fault.
机译:局部均值分解(LMD)是一种自适应分析方法,可以将信号分解为一组乘积函数(PF)分量,并且包络函数的构造在其PF分量的准确性中起着重要作用。根据振动信号的局部非平稳特性,通过一种新颖的包络构造方法,提出了复合插值包络(CIE)LMD。通过定义一个非平稳系数来评估振动信号的局部非平稳特性,提出了一种复合包络构造方法,对非平稳部分使用单调分段三次Hermite插值(MPCHI),对平滑部分采用三次样条插值(CSI),并且采用CIE LMD提出了一种基于新型信封构造方法的算法。数值算例验证了CIE LMD的性能,结果表明CIE LMD优于其他三种方法。 CIE LMD被用于诊断往复式压缩机中过大的轴承间隙故障,并且PF分量的包络频谱给出了比原始信号更大的故障频率峰值,这进一步表明,该方法可用于诊断往复式压缩机超大轴承游隙故障。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2018年第9期|273-295|共23页
  • 作者单位

    Mechanical Science and Engineering Institute, Northeast Petroleum University,NSF I/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati;

    Mechanical Science and Engineering Institute, Northeast Petroleum University;

    NSF I/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati;

    Mechanical Science and Engineering Institute, Northeast Petroleum University;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    LMD; MPCHI; CSI; Reciprocating compressor; Fault diagnosis; Bearing clearance;

    机译:LMD;MPCHI;CSI;往复式压缩机;故障诊断;轴承间隙;

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