Earticle

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

키워드

저자

• Ti-chun Wang [ College of Mechanical and Electrical Engineering, Janjing University of Aeronautics and Astronautics, Nanjing China, Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology, Nanjing, China, Wuxi TJInnova Auto-design Co., LTd ]
• Xiao-yi Chen [ College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjign, China ]
• Shi-sheng Zhong [ School of Mechantronics Engineering, Harbin Institute of Technology, Harbin, China ]
• Yong-jian Zhang [ School of Mechantronics Engineering, Harbin Institute of Technology, Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605