Study on Predictive Maintenance Strategy

Hongxia Wang; Xiaohui Ye; Ming Yin

Study on Predictive Maintenance Strategy

원문정보

Hongxia Wang, Xiaohui Ye, Ming Yin

보안공학연구지원센터(IJUNESST) International Journal of u- and e- Service, Science and Technology Vol.9 No.4 2016.04 pp.295-300

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초록

영어

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.

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

키워드

저자정보

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

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