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볼 베어링 결함 검출을 위한 전용 Condition Index 개발Development of Condition Index for Ball Bearing Fault Detection

Other Titles
Development of Condition Index for Ball Bearing Fault Detection
Authors
엄예준이정준문종영박동희최병근
Issue Date
Feb-2025
Publisher
한국소음진동공학회
Keywords
Bearing Fault; Fault Detection; Signal Processing; Feature Extraction; Condition Index; 베어링 결함; 결함 검출; 신호 처리; 특징 추출; 상태 지표
Citation
한국소음진동공학회논문집, v.35, no.1, pp 79 - 87
Pages
9
Indexed
KCI
Journal Title
한국소음진동공학회논문집
Volume
35
Number
1
Start Page
79
End Page
87
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/77234
ISSN
1598-2785
2287-5476
Abstract
With the growing shift from viewing facilities as consumables to managing them as valuable assets, advancements in facility status monitoring and diagnostic technologies have gained significant importance. Bearings, which are extensively used across industries, serve as critical components in rotating machinery. They play a vital role in securing the shaft in various rotating machines and minimizing friction between the shaft and the machine. As a result, bearing defects directly affect the efficiency and safety of equipment. Accurate monitoring and management of bearing conditions are essential for enhancing facility productivity and reducing maintenance costs. To address this, the present study developed a dedicated Condition Index specifically designed to detect defects in ball bearings, which are fundamental components of rotating equipment.
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공학계열 > 에너지기계공학과 > Journal Articles

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Choi, Byeong Keun
해양과학대학 (스마트에너지기계공학과)
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