The underlying study investigates single valued neutrosophic entropy based adaptive sensitive frequency band selection for variational mode decomposition(VMD)for the purpose of identifying defective components in an axial pump.The proposed methodology is applied in the fol-lowing steps.First,VMD is applied for decomposing vibration signals into various frequency bands,called as modes.After computing energy of each VMD,the lower(minimum)and upper(maximum)bounds from these energy readings are extracted for defect conditions,such as outer race,inner race,worn piston,faulty cylinder and valve plate,and blocked hole of the piston.There-after,energy interval ranges are obtained and further converted into the form of single valued neu-trosophic sets(SVNSs).Then,the proposed neutrosophic entropy measure is deployed for quantifying the non-linear connection between each bearing defect conditions and various fre-quency bands.The mode having maximum neutrosophic entropy value is designated to the"most sensitive"frequency band.Thereafter,envelope demodulation is applied to the most sensitive selected frequency band for finding defective components.The proposed neutrosophic entropy and VMD based methodology is effective in providing a better insight for selecting suitable fre-quency band for carrying out envelope demodulation in comparison to existing methods.

Anil KUMAR;C.P.GANDHI;Hesheng TANG;Govind VASHISHTHA;Rajesh KUMAR;Yuqing ZHOU;Jiawei XIANG

College of Mechanical and Electrical Engineering,Wenzhou University,Wenzhou 325035,China;Amity University Uttar Pradesh,Noidia 201313,India;Rayat Bahra University,Mohali 140104,India;Sant Longowal Institute of Engineering and Technology,Longowal 148106,India

中国航空学报（英文版）

[1]Anil KUMAR;C.P.GANDHI;Hesheng TANG;Govind VASHISHTHA;Rajesh KUMAR;Yuqing ZHOU;Jiawei XIANG-.Adaptive sensitive frequency band selection for VMD to identify defective components of an axial piston pump)[J].中国航空学报（英文版）,2022(01):250-265

neutrosophic,trosophic,SVNSs

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