Earticle

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

키워드

저자

• Zefeng Zheng [ Agricultural University of Hebei; Baoding, Hebei 071001, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605