Adaptive MOMEDA based on improved advance-retreat algorithm for fault features extraction of axial piston pump

Chaoang Xiao; Hesheng Tang; Yan Ren; Jiawei Xiang; Anil Kumar

doi:10.1016/j.isatra.2021.10.033

Adaptive MOMEDA based on improved advance-retreat algorithm for fault features extraction of axial piston pump

ISA Trans. 2022 Sep;128(Pt B):503-520. doi: 10.1016/j.isatra.2021.10.033. Epub 2021 Nov 11.

Authors

Chaoang Xiao¹, Hesheng Tang², Yan Ren¹, Jiawei Xiang¹, Anil Kumar³

Affiliations

¹ College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, 325035, China.
² College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, 325035, China; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310027, China. Electronic address: tanghesheng321200@163.com.
³ Amity University, Noida 201313, India.

PMID: 34802701
DOI: 10.1016/j.isatra.2021.10.033

Abstract

The fault information of axial piston pump bearings is inevitably submerged by violent natural periodic impulses. Therefore, an accurate extraction of fault impulses remains a challenging problem. A hybrid method of MOMEDA and TEO is proposed to extract periodic impulses in this study. Firstly, the deconvolution periods of multiple periodic components in the original vibration signals are analysed using Kurtosis. Then, an advance-retreat algorithm is used to optimize the filter length of MOMEDA. After multiple input parameters are determined adaptively, the MOMEDA is used to enhance the various periodic impulses respectively. Finally, TEO demodulation is employed to further obtain fault frequencies. Experimental vibration data is used to verify the advantages of this method for periodic impulses extraction. The results are then compared with traditional deconvolution and decomposition techniques to prove the superior performance of the proposed approach in terms of its better accuracy and reduced processing time.

Keywords: Axial piston pump; Fault diagnosis; Feature extraction; Improved advance-retreat algorithm; Teager energy operator.