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An improved spectral amplitude modulation method for rolling element bearing fault diagnosis

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Abstract

The fault signatures in the real bearing vibration signals are relatively weak and are usually buried by strong background noise due to the influence of multiple structures and the complex transmission path of the equipment, which brings many difficulties to the accurate and effective fault diagnosis of rolling element bearing. To address this problem, an improved spectral amplitude modulation method was proposed in this paper. First, in the process of SAM calculation, signal distortion and interference components enhancement due to the existence of transmission path were suppressed in advance to improve the analysis effect. Second, the selection range of magnitude order (MO) was determined from 0 to 2, and an optimal MO selection strategy while the maximum value of the harmonics significant index was employed as the target. Finally, the complexity of the bearing vibration signal was taken into consideration, the whole frequency band was divided and the maximum value of the signals’ sparsity was set as the target for signal reconstruction, which further suppressed the interference of irrelevant components and the fault characteristics were highlighted. Abundant fault features could be extracted in the envelope spectrum of the reconstruction signal. The effectiveness of this approach was verified using the simulation bearing inner race fault signal, the measured bearing inner and outer race fault signals. The results show that the method in this manuscript can extract the bearing fault signatures accurately from the strong background interference.

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Authors and Affiliations

  1. Naval Petty Officer Academy, Bengbu, 233012, China

    Danchen Zhu, Bolong Yin & Chengxin Teng

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  1. Danchen Zhu
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  2. Bolong Yin
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  3. Chengxin Teng
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Correspondence to Danchen Zhu.

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Technical Editor: Jarir Mahfoud.

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Zhu, D., Yin, B. & Teng, C. An improved spectral amplitude modulation method for rolling element bearing fault diagnosis. J Braz. Soc. Mech. Sci. Eng. 45, 257 (2023). https://doi.org/10.1007/s40430-023-04184-z

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