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A FUSION OF BAYESIAN AND FUZZY ANALYSIS FOR PRINT FAULTS DIAGNOSIS Shijun Qiu1
 

Summary: A FUSION OF BAYESIAN AND FUZZY ANALYSIS FOR PRINT FAULTS DIAGNOSIS
Shijun Qiu1
Dept of Mechanical and Electrical Engineering
Xiamen University
China
sjqiu@newton.berkeley.edu
Alice M. Agogino, Shuang Song, Jialong Wu, Shankaran Sitarama
Department of Mechanical Engineering
University of California, Berkeley
aagogino@euler.berkeley.edu
1
Currently, Shijun Qiu is a visiting scholar in the Department
of Mechanical Engineering at UC Berkeley.
Key word: Information fusion, expert system, fuzzy
logic, Bayesian network, diagnosis
Abstract
This paper is part of a larger study of remote print
defect diagnosis. The goals of the integrated print defect
diagnosis system are to reduce diagnosis time, streamline
communication between customers and call center

  

Source: Agogino, Alice M. - Department of Mechanical Engineering, University of California at Berkeley

 

Collections: Engineering