KLI

Rotating Machine Fault Detection based on Fuzzy Logic and Improved Adaptive Filter

Metadata Downloads
Abstract
The rotating machine contains the many rotating parts and one rotating part produces additional noise to the others. As a result, fault signatures of the rotating machine are turned out to be quite weak. This paper proposed an effective method to detect the fault signatures of rotating machines based on improved adaptive filter, fuzzy logic and spectrum analysis. An improved adaptive filter is used to remove the noises from the faulty signal. Since the performance of the adaptive filter depends on the step size, a new technique is proposed to select the step size effectively based on entropy and fuzzy logic. To determine the fault signature of rotating machines of vibration signals effectively, demodulation is often required. Both squared envelope and Hilbert based envelope analysis are performed to identify the fault signature accurately. The effectiveness of the proposed adaptive filter is shown by simulation. Performances of the improved adaptive are also verified by real experimental data. Experimental results show that the proposed method can effectively detect the fault signatures of the rotating machines
Author(s)
정의필Md Saiful Islam
Issued Date
2021
Type
Article
Keyword
improved adaptive filterentropyHilbert transformsquared envelopefuzzy logicSNR
DOI
10.18178/ijmerr.10.2.79-86
URI
https://oak.ulsan.ac.kr/handle/2021.oak/9042
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_crossref_primary_10_18178_ijmerr_10_2_79_86&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Rotating%20Machine%20Fault%20Detection%20based%20on%20Fuzzy%20Logic%20and%20Improved%20Adaptive%20Filter&offset=0&pcAvailability=true
Publisher
International Journal of Mechanical Engineering and Robotics Research
Location
인도
Language
한국어
Citation Volume
10
Citation Number
2
Citation Start Page
79
Citation End Page
86
Appears in Collections:
Engineering > IT Convergence
Authorize & License
  • Authorize공개
Files in This Item:
  • There are no files associated with this item.

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.