Based on the disadvantages of the original LMD algorithm in terms of smoothing method and end effect, this paper puts forward a fault diagnosis method of rotor system based on the improved LMD and singular value decomposition. The PF (Product function) component obtained after applying the improved LMD method is able to separate the aliasing modes while maintaining the natures and features of the original PF component. Thus, the system’s real information can be grasped more effectively. According to the experimental analysis, this method can be applied to fault diagnosis of rotor system effectively.
목차
Abstract 1. Introduction 2. The Rotor System Fault and Its Diagnosis 2.1. Common Rotor System Fault Types 2.2. Rotor System Fault Diagnosis Methods 3. Rotor System Fault Diagnosis based on Improved LMD and Singular Value Decomposition 3.1. Local Mean Decomposition Method and its Disadvantages 3.2. The Improved LMD Method 3.3. Singular Value Decomposition 3.4. Improved Rotor System Fault Diagnosis Method 4. Experimental Simulation Analysis 5. Conclusions References
키워드
Power machineryFault diagnosisLMD methodSingular value decomposition
저자
Hong Zhang [ Weifang University, Weifang 261061, China ]
보안공학연구지원센터(IJAST) [Science & Engineering Research Support Center, Republic of Korea(IJAST)]
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 Advanced Science and Technology
간기
월간
pISSN
2005-4238
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Advanced Science and Technology Vol.77