원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.9
2015.09
pp.207-216
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Based on the diversity, complexity and uncertainty of the fault information of complex mechanical equipment, this paper conducts extension analysis about the failure diagnosis for complex mechanical equipment and provides the extension model. This model carries out knowledge modeling about the failure diagnosis information based on matter element model, acquires the weight of different kinds of fault by grey correlation analysis, and establishes extensible dependence between different features of failure diagnosis according to extension data. Analysis of different fault information is conducted by identifying the type of faults based on extensible dependence. At last, the model and algorithm are testified through design examples.
목차
Abstract
1. Introduction
2. Failure Diagnosis of Complex Mechanical Equipment based on Extension Model
2.1 Matter Element Modeling of Equipment Failure Information
2.2 Establishing Extension Model for Failure Diagnosis
2.3 Analysis of Weight of Failure Characteristics
2.4 Calculation of Failure Correlation based on Extension Theory
2.5 Extension Algorithm Implementation for Failure Diagnosis
3. Application Case
4. Conclusion
References
1. Introduction
2. Failure Diagnosis of Complex Mechanical Equipment based on Extension Model
2.1 Matter Element Modeling of Equipment Failure Information
2.2 Establishing Extension Model for Failure Diagnosis
2.3 Analysis of Weight of Failure Characteristics
2.4 Calculation of Failure Correlation based on Extension Theory
2.5 Extension Algorithm Implementation for Failure Diagnosis
3. Application Case
4. Conclusion
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보