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
- 엄예준; 이정준; 문종영; 박동희; 최병근
- 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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Collections - 해양과학대학 > ETC > Journal Articles
- 공학계열 > 에너지기계공학과 > Journal Articles

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