Intelligent condition diagnosis method for rotating machinery using Relative Ratio Symptom Parameter and Bayesian Network

Conference Proceedings of the International Symposium on Signals, Systems and Electronics

Volumn 1, Issue , 2010, Pages 224-228

  Zhu, Jingjing ^a   Li, Zhongxing ^b   Li, Ke ^a   Chen, Peng ^a  

^a MIE UNIVERSITY   (Japan)

^b JIANGSU UNIVERSITY   (China)

Author keywords

Bayesian Network; Fault diagnosis; Relative Ratio Symptom Parameter

Indexed keywords

DIAGNOSIS METHODS; FAULT DIAGNOSIS; FAULT DIAGNOSIS SYSTEMS; MECHANICAL FAULT DIAGNOSIS; NORMAL STATE; RELATIVE RATIOS; ROTATING MACHINE; SYMPTOM PARAMETERS; VIBRATION SIGNAL;

DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; QUALITY ASSURANCE; RELIABILITY; ROTATING MACHINERY; ROTATION; VIBRATION ANALYSIS;

BAYESIAN NETWORKS;

EID: 78650358513     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSSE.2010.5607088     Document Type: Conference Paper

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