The research of pattern recognition of gear pump based on EMD and KPCA-SVM

2011 International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2011

Volumn 1, Issue , 2011, Pages 1-4

  Yang, Qing ^a   Chen, Guiming ^a   He, Qingfei ^a   Tong, Xingmin ^a  

^a XI'AN RESEARCH INSTITUTE OF HIGH TECHNOLOGY   (China)

Author keywords

empirical mode decomposition (EMD); kernel principal component analysis (KPCA); pattern recognition; support vector machines (SVM)

Indexed keywords

ANALYSIS RESULTS; DIMENSIONLESS PARAMETERS; EMPIRICAL MODE DECOMPOSITION; EMPIRICAL MODE DECOMPOSITION METHOD; END EFFECTS; FEATURE VECTORS; INTRINSIC MODE FUNCTIONS; KERNEL PRINCIPAL COMPONENT; KERNEL PRINCIPAL COMPONENT ANALYSIS; MECHANICAL EQUIPMENT; NON-STATIONARY VIBRATION SIGNALS; OUTPUT SIGNAL; PUMP VIBRATIONS; SUPPORT VECTOR;

CONDITION MONITORING; FEATURE EXTRACTION; GEAR MANUFACTURE; GEAR PUMPS; GEARS; INDUSTRIAL RESEARCH; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; PUMPS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; SYSTEMS SCIENCE; VIBRATION ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 83455218629     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSSEM.2011.6081165     Document Type: Conference Paper

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