지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.12
- 수록면
- 1,227 - 1,236 (10page)
이용수
초록· 키워드
오류제보하기
The low speed machinery faults are usually caused by the bearing failure of the rolling elements. As the life time of the bearing is limited, the condition monitoring of bearing is very important to maintain the continuous operation without failures. A few monitoring techniques using time domain, frequency domain and fuzzy neural network vibration analysis are introduced to detect and diagnose the faults of the low speed machinery. This paper presents a method of fault detection for the rolling element bearing in the low speed machinery using the Wiener filtering and shock pulse counting techniques. Wiener filter is used for noise cancellation and it clearly makes the shock pulse emerge from the time signal with the high level of noise. The shock pulse counting is used to determine the various faults obviously from the shock signal with transient pulses not related with the bearing fault. Machine fault simulator is used for the experimental measurement in order to verify this technique is the powerful tool for the low speed machine compared with the frequency analysis. The test results show that the method proposed is very effective parameter even for the signal with high contaminated noise, speed variation and very low energy. The presented method shows the optimal tool for the condition monitoring purpose to detect the various bearing fault with high accuracy.
목차
등록된 정보가 없습니다.
참고문헌 (10)
참고문헌 신청
1. [학술지(정기간행물)] - Ericsson, S. / 2005 / Towards Automatic Detection of Local Bearing Defects in Rotating Machines / Mechanical Systems and Signal Processing 19 (3) : 509 ~ 535
2. [학술지(정기간행물)] - Randall, R. B. / 2011 / Rolling Element Bearing Diagnostics –A Tutorial 25 (2) : 485 ~ 520
3. [학술대회논문] - Dowling, M. J. / 1993 / Application of Non-stationary Analysis to Machinery Monitoring / ICASSP-93, IEEE International Conference 1 : 59 ~ 62
4. [단행본] - Sawalhi, N. / 2007 / The Enhancement of Fault Detection and Diagnosis in Rolling Element Bearing using Minimum Entropy Deconvolution Combined with Spectral Kurtosis, School of Mechanical & Manufacturing Engineering / The University of New South Wales
5. [학술지(정기간행물)] - Lou, X. / 2004 / Bearing Fault Diagnosis Based on Wavelet Transform and Fuzzy Inference / Mechanical Systems and Signal Processing 18 (5) : 1077 ~ 1095
2. [학술지(정기간행물)] - Randall, R. B. / 2011 / Rolling Element Bearing Diagnostics –A Tutorial 25 (2) : 485 ~ 520
3. [학술대회논문] - Dowling, M. J. / 1993 / Application of Non-stationary Analysis to Machinery Monitoring / ICASSP-93, IEEE International Conference 1 : 59 ~ 62
4. [단행본] - Sawalhi, N. / 2007 / The Enhancement of Fault Detection and Diagnosis in Rolling Element Bearing using Minimum Entropy Deconvolution Combined with Spectral Kurtosis, School of Mechanical & Manufacturing Engineering / The University of New South Wales
5. [학술지(정기간행물)] - Lou, X. / 2004 / Bearing Fault Diagnosis Based on Wavelet Transform and Fuzzy Inference / Mechanical Systems and Signal Processing 18 (5) : 1077 ~ 1095
이 논문의 저자 정보
이 논문과 함께 이용한 논문
데이터 마이닝 기법 및 경험적 모드 분해법을 이용한 회전체 이상 진단 알고리즘 개발에 관한 연구
윤상환
,
박병희
,
이창우
한국기계가공학회지
2016
.08
모바일 로봇 자세 안정화를 위한 칼만 필터 기반 센서 퓨전
장태호
,
김영식
,
경민영
외 2명
대한기계학회 논문집 A권
2016
.08
A-Si(CsITl) 영상시스템에서 부가필터, SID에 따른 X선 스펙트럼변화와 해상력에 대한 고찰
안현
,
김정훈
,
이동연
외 2명
한국콘텐츠학회논문지
2016
.07
지자기맵을 이용한 이동로봇의 실내 위치 추정
김태경
,
국태용
,
박종구
외 1명
대한전자공학회 학술대회
2016
.06
Hysteresis Modeling of the Sealed Flooded Lead Acid Battery for SOC Estimation
Abdul Basit Khan
,
Woojin Choi
전력전자학회 학술대회 논문집
2016
.07
최근 본 자료
댓글(0)
0