This paper proposes a method of fault position detection and location for the axle of railway vehicles, which based on Acoustic Emission technique. The method is used to denoise the Acoustic Emission signal by wavelet transformation and makes signal of continuous processing by Butterworth filter; then finds the maximum in reverse direction after taking threshold comparison with continuous signal in order to form the point of the first peak. Finally fault location is on the basis of the time from the first peak to the sensor. The experimental results indicate that the method can remove interference effectively and its positioning accuracy is better than the location method of Gabor transformation. After all, this method has a great value in engineering application.
목차
Abstract 1. Introduction 2. Test Establishment 3. Detection and De-noising of Signal 4. Positioning Experiment 5. Conclusion 6. Acknowledgment References
키워드
Railway vehiclesAxleFaultLocationWavelet
저자
Chang Hong Jiang [ Institute of Electrical and Electronics Engineering, Changchun University of Technology,Changchun,130012,P.R.China ]
Su Pan [ Department of Orthopedics, the Second Hospital of Jilin University, Changchun, Jilin Province, China ]
Chao Zhang [ School of Electronic and Information Engineering, Chang Chun University, Chang Chun, China ]
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.9 No.5