[1] Zhao Dezun, Li Jianyong, Cheng Weidong, et al. An improved resampling algorithm for rolling element bearingfault diagnosis under variable rotational speeds [J]. Journal of Southeast University (English Edition), 2017, 33 (2): 150-158. [doi:10.3969/j.issn.1003-7985.2017.02.005]

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An improved resampling algorithm for rolling element bearingfault diagnosis under variable rotational speeds()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

33

Issue:

2017 2

Page:

150-158

Research Field:

Mechanical Engineering

Publishing date:

2017-06-30

Info

Title:

An improved resampling algorithm for rolling element bearingfault diagnosis under variable rotational speeds

Author(s):

Zhao Dezun¹;  Li Jianyong¹;  2;  Cheng Weidong¹;  Wen Weigang¹

¹School of Mechanical Electronic and Control Engineering, Beijng Jiaotong University, Beijing 100044, China
² Key Laboratory of Vehicle Advanced Manufacturing, Measuring and Control Technology of Ministry of Education, Beijng Jiaotong University, Beijing 100044, China

Keywords:

rolling element bearing;  fault diagnosis;  variable rotational speed;  equal division impulse-based resampling

PACS:

TH113.1

DOI:

10.3969/j.issn.1003-7985.2017.02.005

Abstract:

In order to address the issues of traditional resampling algorithms involving computational accuracy and efficiency in rolling element bearing fault diagnosis, an equal division impulse-based(EDI-based)resampling algorithm is proposed. First, the time marks of every rising edge of the rotating speed pulse and the corresponding amplitudes of faulty bearing vibration signal are determined. Then, every adjacent the rotating pulse is divided equally, and the time marks in every adjacent rotating speed pulses and the corresponding amplitudes of vibration signal are obtained by the interpolation algorithm. Finally, all the time marks and the corresponding amplitudes of vibration signal are arranged and the time marks are transformed into the angle domain to obtain the resampling signal. Speed-up and speed-down faulty bearing signals are employed to verify the validity of the proposed method, and experimental results show that the proposed method is effective for diagnosing faulty bearings. Furthermore, the traditional order tracking techniques are applied to the experimental bearing signals, and the results show that the proposed method produces higher accurate outcomes in less computation time.

References:

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Memo

Memo:

Biographies: Zhao Dezun(1990—), male, graduate; Cheng Weidong(corresponding author), male, doctor, professor, wdcheng@bjtu.edu.cn.
Foundation item: Fundamental Research Funds for the Central Universities(No.2016JBM051).
Citation: Zhao Dezun, Li Jianyong, Cheng Weidong, et al. An improved resampling algorithm for rolling element bearing fault diagnosis under variable rotational speeds[J].Journal of Southeast University(English Edition), 2017, 33(2):150-158.DOI:10.3969/j.issn.1003-7985.2017.02.005.

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