Title: Vibration fault detection method of boiler feed pump based on Hilbert vibration decomposition

Authors: Yanyuan Li; Xingming Zhao; Zhongzhu Liu; Xiaofang Sun

Addresses: The Electrical Engineering, Zhengzhou Electronic Power College, Zhengzhou 450002, China ' Power China Zhengzhou Pump Co., Ltd., Zhengzhou 450000, China ' Advanced Materials Research Center, Zhongyuan University of Technology, Zhengzhou 450000, China ' The Electrical Engineering, Zhengzhou Electronic Power College, Zhengzhou 450002, China

Abstract: In this paper, a vibration fault detection method of boiler feed pump based on Hilbert vibration decomposition is proposed. Firstly, the vibration signal characteristics of boiler feed pump are analysed. Then, the wavelet threshold denoising principle is used to quantify the vibration signal and obtain the denoised vibration signal. Then, Hilbert vibration decomposition method is used to decompose the vibration signal and extract the signal features. Finally, the fault type of the feed water pump is judged by the abnormal increase of the feed water pump outlet pressure and the failure of the full opening of the deaerator. The simulation results show that the accuracy of vibration fault detection of boiler feed pump by the proposed method is up to 100%, and the detection time is within 18.32 s. The detection accuracy of the proposed method is high, and the detection time is short.

Keywords: Hilbert vibration decomposition; boiler feed pump; fault detection; wavelet threshold.

DOI: 10.1504/IJMTM.2023.133474

International Journal of Manufacturing Technology and Management, 2023 Vol.37 No.3/4, pp.334 - 348

Received: 16 Mar 2022
Received in revised form: 18 Apr 2022
Accepted: 29 Jun 2022
Published online: 17 Sep 2023 *

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