원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.9 No.5
2015.05
pp.307-318
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Due to the lack of condition monitoring and health analysis of the equipment in the daily operations, serious accident happened and it caused the incorrect results of fault diagnosis. We propose a method of condition monitoring and fault prediction based on extension theory. The method established a matter element mode to give the formal description of the state of the equipment. It used dependent function to do the qualitative and quantitative analysis of the equipment state. Through the method, we can change the model of maintenance which is always done after fault occurred. We use the method on the example of turbines to prove the feasibility and effectiveness of the method.
목차
Abstract
1. Introduction
2. The Establishment of the Extension Model of Failure Prediction
3. Research on System Failure Prediction Method based on the Extension Theory
3.1 Determine Classical Domain and Joint Domain of Things
3.2 The Distance and Side Distance of Failure Prediction Information
3.3 Determine the State Feature Weights
3.4 Correlation Function
3.5 Method of Equipment Fault Prediction
4. Application Example
5. Conclusion
References
1. Introduction
2. The Establishment of the Extension Model of Failure Prediction
3. Research on System Failure Prediction Method based on the Extension Theory
3.1 Determine Classical Domain and Joint Domain of Things
3.2 The Distance and Side Distance of Failure Prediction Information
3.3 Determine the State Feature Weights
3.4 Correlation Function
3.5 Method of Equipment Fault Prediction
4. Application Example
5. Conclusion
References
저자정보
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자료제공 : 네이버학술정보