Predictive Maintenance is the catchword in the present times. First ,the paper analyze the feature of the Predictive Maintenance, include scientific, approximation, timeliness, condition monitoring, fault diagnostic and so on, second the technology system for Predictive maintenance has been studied, including: condition monitoring technology, fault diagnosis technology, state prediction and maintenance decision support and maintenance activities. Finally, the Strategies of Predictive maintenance is given.
목차
Abstract 1. Introduction 2. Predictive Maintenance Features 3. Predictive Maintenance Technology System 3.1. Condition Monitoring Technology 3.2. Fault Diagnosis Techniques 3.3. State Prediction Technology 3.4. Maintenance Decision Support and Maintenance Activities 4. Predictive Maintenance Strategies 5. Conclusion Acknowledgments References
Hongxia Wang [ Department of Electronic Engineering, Naval University of Engineering, China Department of Scientific Research, Naval University of Engineering, China ]
Xiaohui Ye [ Department of Electronic Engineering, Naval University of Engineering, China Department of Scientific Research, Naval University of Engineering, China ]
Ming Yin [ Department of Electronic Engineering, Naval University of Engineering, China Department of Scientific Research, Naval University of Engineering, China ]
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
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 u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.4