New Method for Fault Diagnosis Based on Dempster-shafer Theory

2013 ◽  
Vol 12 (10) ◽  
pp. 2069-2072
Author(s):  
Hong Zhan ◽  
Jiwen Tan
Keyword(s):  
Fault Diagnosis ◽  
New Method ◽  
Dempster Shafer Theory ◽  
Shafer Theory

Research and Application of the Improved DST New Method Based on Fuzzy Consistent Matrix and the Weighted Average

2014 ◽  
Vol 1030-1032 ◽  
pp. 1764-1768 ◽  
Author(s):  
Wei Xiao Xu ◽  
Ji Wen Tan ◽  
Hong Zhan
Keyword(s):  
Fault Diagnosis ◽  
Evidence Synthesis ◽  
Weighted Average ◽  
Rolling Bearing ◽  
New Method ◽  
Cnc Machine ◽  
Bearing Fault Diagnosis ◽  
Dempster Shafer Theory ◽  
High Conflict ◽  
Shafer Theory

Aiming at the existing defects of evidence dempster-shafer theory (DST) in dealing with high conflict evidence, we proposed a new method to improve DST. By introducing concept of fuzzy consistent matrix, calculate the weights of factors, and put different sources of evidence into distinguish, and finally cast more than one vote to prevent the phenomenon, the average convergence of evidence. What’s more, the improved DST new method is applied to the rolling bearing fault diagnosis of CNC machine workbench .The test results show that the improved new synthetic formula increases the accuracy of fault diagnosis Ball, the conflict of evidence synthesis results better, to achieve better results.

Data Fusion for Fault Diagnosis Using Dempster-Shafer Theory Based Multi-class SVMs

2005 ◽  
pp. 175-184
Author(s):  
Zhonghui Hu ◽  
Yunze Cai ◽  
Ye Li ◽  
Yuangui Li ◽  
Xiaoming Xu
Keyword(s):  
Fault Diagnosis ◽  
Data Fusion ◽  
Dempster Shafer Theory ◽  
Shafer Theory

A new method based on Dempster–Shafer theory and fuzzy c-means for brain MRI segmentation

2015 ◽  
Vol 26 (10) ◽  
pp. 105402 ◽  
Author(s):  
Jie Liu ◽  
Xi Lu ◽  
Yunpeng Li ◽  
Xiaowu Chen ◽  
Yong Deng
Keyword(s):  
Brain Mri ◽  
New Method ◽  
Mri Segmentation ◽  
Fuzzy C Means ◽  
Dempster Shafer Theory ◽  
Shafer Theory

An intelligent fault diagnosis approach based on Dempster-Shafer theory for hydraulic valves

Measurement ◽  
2020 ◽  
Vol 165 ◽  
pp. 108129 ◽  
Author(s):  
Xiancheng Ji ◽  
Yan Ren ◽  
Hesheng Tang ◽  
Chong Shi ◽  
Jiawei Xiang
Keyword(s):  
Fault Diagnosis ◽  
Intelligent Fault Diagnosis ◽  
Dempster Shafer Theory ◽  
Shafer Theory ◽  
Hydraulic Valves ◽  
Diagnosis Approach

scholarly journals Dempster-Shafer and Multi-Focus Image Fusion using Local Distance

2021 ◽  
Author(s):  
Ias Sri Wahyuni ◽  
Rachid Sabre
Keyword(s):  
Image Fusion ◽  
Mass Function ◽  
New Method ◽  
Dempster Shafer Theory ◽  
Local Distance ◽  
Focus Image ◽  
Fusion Images ◽  
Shafer Theory ◽  
Quadratic Distance ◽  
Local Variability

In this article, we give a new method of multi-focus fusion images based on Dempster-Shafer theory using local variability (DST-LV). Indeed, the method takes into account the variability of observations of neighbouring pixels at the point studied. At each pixel, the method exploits the quadratic distance between the value of the pixel I (x, y) of the point studied and the value of all pixels which belong to its neighbourhood. Local variability is used to determine the mass function. In this work, two classes of Dempster-Shafer theory are considered: the fuzzy part and the focused part. We show that our method gives the significant and better result by comparing it to other methods.

scholarly journals A Signature Analysis Method for IC Failure Analysis

1996 ◽  
Author(s):  
C.L. Henderson ◽  
J.M. Soden
Keyword(s):  
Failure Analysis ◽  
Failure Mechanism ◽  
Experiential Knowledge ◽  
New Method ◽  
Signature Analysis ◽  
Analysis Method ◽  
Dempster Shafer Theory ◽  
Shafer Theory

Abstract A new method of signature analysis is presented and explained. This method of signature analysis can be based on either experiential knowledge of failure analysis, observed data, or a combination of both. The method can also be used on low numbers of failures or even single failures. It uses the Dempster-Shafer theory to calculate failure mechanism confidence. The model is developed in the paper and an example is given for its use.

A new method to rank fuzzy numbers using Dempster–Shafer theory with fuzzy targets

2016 ◽  
Vol 346-347 ◽  
pp. 302-317 ◽  
Author(s):  
Kok Chin Chai ◽  
Kai Meng Tay ◽  
Chee Peng Lim
Keyword(s):  
Fuzzy Numbers ◽  
New Method ◽  
Dempster Shafer Theory ◽  
Shafer Theory
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