Earticle

초록

영어

In traditional fault diagnosis method, a large number of experiments are needed to get the optimal performance classifier which diagnoses type of fault. Because of classifier algorithm limit, there is no one classifier can be applied to all kinds of fault diagnosis. In order to avoid the disadvantages caused by single classifier approach, decision level fusion method based on multiple classifiers fusion is introduced in the field of fault diagnosis. The fusion method with fuzzy comprehensive evaluation is put forward and the basic evaluation model is set up. The reasonable distribution of classifiers weight that affects diagnosis result directly is vital. Firstly, the evaluation function which measures member classifier’s diagnostic accuracy and correctness is constructed based on the theory of information entropy. Then, weights are distributed to each classifier with entropy coefficient according to the value of evaluation function. Experiments are carried out to demonstrate the effectiveness of the proposed method and results show that fault recognition rate after fusion is higher compared with the single classifier method.

목차

Abstract
 1. Introduction
 2. The Fuzzy Model for Comprehensive Evaluation of Fault Diagnosis
  2.1. Factor Set
  2.2. Judgment Set
  2.3. Single Factor Judgment
 3. Method of Deciding the Weight of Each Member Classifier
  3.1. Accuracy of Fault Diagnosis
  3.2. Correctness of Fault Diagnosis
  3.3. Member Classifiers’ Weights
 4. Fusion of Multiple Classifiers
 5. Experiment
 6. Conclusions
 References

키워드

저자

• Yan Wen [ Department of Mechanical Engineering, Qingdao Technological University, Qingdao 266033, China ]
• Jiwen Tan [ Department of Mechanical Engineering, Qingdao Technological University, Qingdao 266033, China ]
• Hong Zhan [ Department of Mechanical Engineering, Qingdao Technological University, Qingdao 266033, China ]
• Hao Wang [ Department of Mechanical Engineering, Qingdao Technological University, Qingdao 266033, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605