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Experimental fault detection of rotating machinery through chaos-based tools of recurrence plot and recurrence quantitative analysis

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Abstract

Some healthy/faulty conditions in rotating machinery lead to nonlinear dynamics of system. In these conditions, early fault detection of rotating machinery is a hard problem to solve. Chaotic behavior occurs only in nonlinear dynamical systems. The recurrence plot as a novel method characterizes the chaotic behavior of system in phase space. After the reconstruction of the phase space by the method of embedding, recurrence plot is obtained by the theory of recurrences. Qualitative analysis of recurrence plot provides rich information about the chaotic vibration of rotating machinery. Effects of different faults on the recurrence plot are observed and analyzed. For a precise analysis, the recurrence quantitative analysis is used for fault detection from the rotating machinery vibration signals. These measures have good information about the healthy/faulty conditions. This analysis gives good results for early fault diagnosis in rotating machinery. The use of recurrence plot and recurrence quantitative analysis for fault detection in rotating machinery is novel, and it is shown that it can detect several faults by a minimum error. These results demonstrate the potential of chaos-based tools for analysis of the rotating machinery vibration signals for fault detection and diagnosis.

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Author notes

  1. Seyed Ehsan Masalegoo and Hossein Saeedi Masine have contributed equally to this work.

Authors and Affiliations

  1. Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

    Seyed Ehsan Masalegoo, Ali Soleimani & Hossein Saeedi Masine

  2. Modern Manufacturing Technologies Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran

    Seyed Ehsan Masalegoo, Ali Soleimani & Hossein Saeedi Masine

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  1. Seyed Ehsan Masalegoo
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  2. Ali Soleimani
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Correspondence to Ali Soleimani.

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Masalegoo, S.E., Soleimani, A. & Saeedi Masine, H. Experimental fault detection of rotating machinery through chaos-based tools of recurrence plot and recurrence quantitative analysis. Arch Appl Mech 93, 1259–1272 (2023). https://doi.org/10.1007/s00419-022-02326-8

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  • DOI: https://doi.org/10.1007/s00419-022-02326-8

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