Bayesian network approach for dimensional variation diagnosis in assembly process

2009 International Workshop on Intelligent Systems and Applications, ISA 2009

Volumn , Issue , 2009, Pages

  Liu, Yinhua ^a   Jin, Sun ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Assembly process; Automotive; Bayesian network; Fault diagnosis

Indexed keywords

ASSEMBLY PROCESS; AUTOMOTIVE; BODY SHOP; COMPLEX PROCESSES; DIAGNOSTIC MODEL; DIAGNOSTIC PROCEDURE; DIMENSIONAL VARIATIONS; EXPERT EXPERIENCE; FAULT DIAGNOSIS; FAULT SYMPTOMS; INFLUENCE COEFFICIENT; MASS MANUFACTURING; MEASUREMENT STRATEGIES; PARAMETER LEARNING; PROBABILISTIC FAULT DIAGNOSIS; PROCESS KNOWLEDGE; ROOT CAUSE; SHEET METAL COMPONENTS; SMALL SAMPLES;

ASSEMBLY; DISTRIBUTED PARAMETER NETWORKS; FAILURE ANALYSIS; INFERENCE ENGINES; INTELLIGENT NETWORKS; INTELLIGENT SYSTEMS; SHEET METAL; SPEECH RECOGNITION;

BAYESIAN NETWORKS;

EID: 70349484838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWISA.2009.5072768     Document Type: Conference Paper

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