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
- 저널정보
- Korean Society for Precision Engineering Journal of the Korean Society for Precision Engineering Journal of the Korean Society for Precision Engineering Vol.41 No.9
- 발행연도
- 2024.9
- 수록면
- 673 - 679 (7page)
- DOI
- 10.7736/JKSPE.024.056
이용수
초록· 키워드
오류제보하기
To develop a technology to diagnose the fault of dampers applied to railway vehicles and to set criteria, test runs were performed to measure damping force and displacement acting on a lateral damper during vehicle operation. Normal damper and fault damper were installed on a test train. Damper force and velocity of the lateral damper during test running were measured. Distributions of damper force and velocity representing the state of the damper had the same distribution in repeated tests. Distribution of the damper force and velocity was consistently uniform regardless of the train driving direction. Thus, the effect of train driving direction on damper force and velocity distribution was insignificant. The fault of the damper appeared to have a direct effect on the distribution of the damper force, suggesting that the fault of the damper could be sufficiently diagnosed just by monitoring the force of the damper. Especially, when comparing the velocity-force distribution, the fault damper showed a clear difference from a normal damper. Results of this paper could be used for developing a technology for diagnosing damper fault for railway vehicles in the future.
목차
1. 서론
2. 시험 개요
3. 댐퍼 감쇠력, 변위 시험결과
4. 결론
REFERENCES
참고문헌 (9)
참고문헌 신청
Lee, Y. K., (2010), A study of damper fault diagnosis based on the vertical acceleration of suspension system, M.Sc. Thesis, Kookmin University.
Melnik, R., Sowiński, B., (2014), The selection procedure of diagnostic indicator of suspension fault modes for the rail vehicles monitoring system, 7th European Workshop on Structural Health Monitoring, 159-166.
Dumitriu, M., (2019), Fault detection of damper in railway vehicle suspension based on the cross-correlation analysis of bogie accelerations, Mechanics & Industry, 20(1), 102.
Jesussek, M., Ellermann, K., (2015), Fault detection and isolation for a railway vehicle by evaluating estimation residuals, Procedia IUTAM, 13, 14-23.
Karlsson, H., (2019), Monitoring vehicle suspension elements using machine learning techniques, M.Sc. Thesis, KTH Royal Institute of Technology.
Melnik, R., Sowiński, B., (2014), The selection procedure of diagnostic indicator of suspension fault modes for the rail vehicles monitoring system, 7th European Workshop on Structural Health Monitoring, 159-166.
Dumitriu, M., (2019), Fault detection of damper in railway vehicle suspension based on the cross-correlation analysis of bogie accelerations, Mechanics & Industry, 20(1), 102.
Jesussek, M., Ellermann, K., (2015), Fault detection and isolation for a railway vehicle by evaluating estimation residuals, Procedia IUTAM, 13, 14-23.
Karlsson, H., (2019), Monitoring vehicle suspension elements using machine learning techniques, M.Sc. Thesis, KTH Royal Institute of Technology.
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