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Research on constructing a degradation index and predicting the remaining useful life for rolling element bearings of complex equipment

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Abstract

Due to the interference of complex transmission path and noise, the weak characteristic signal of a fault in complex equipment is difficult to extract, and then it is hard to establish an index that can timely and effectively reflect the degradation state of the bearing fault. A bearing degradation state index was constructed by using moving average coarsegrained, fast iterative filtering decomposition, permutation entropy, Wasserstein distance and cumulative sum method, which realize the recognition and evaluation of bearing degradation state. On this basis, a hybrid model based on autoregressive integral moving average and nonlinear autoregressive neural network was constructed. Experimental study showed that the model could achieve accurately the residual life prediction of bearing for complex equipment.

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Abbreviations

D :

Diagonal matrix

E :

Mathematical expectation

f r :

Rotational frequency

f s :

Sampling frequency

F m :

Circulant matrix

h :

Transfer function

k :

Offsets

P :

Probability

U :

Unitary matrix

θ t :

Moving average coefficient

ε t :

Error

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Acknowledgments

This work is supported by a grant from the National Defence Researching Fund (No. 9140A27020413JB11076), China.

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Authors and Affiliations

  1. Naval University of Engineering, Wuhan, 430033, China

    Lei Zhao, Yongxiang Zhang & Jiawei Li

Authors
  1. Lei Zhao
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  2. Yongxiang Zhang
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  3. Jiawei Li
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Corresponding author

Correspondence to Lei Zhao.

Additional information

Lei Zhao is a Doctoral student at Naval University of Engineering, Wuhan, China. His current research interests include detection and fault diagnosis.

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Zhao, L., Zhang, Y. & Li, J. Research on constructing a degradation index and predicting the remaining useful life for rolling element bearings of complex equipment. J Mech Sci Technol 35, 4313–4327 (2021). https://doi.org/10.1007/s12206-021-0904-6

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  • DOI: https://doi.org/10.1007/s12206-021-0904-6

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