Online fault diagnosis method based on Incremental Support Vector Data Description and Extreme Learning Machine with incremental output structure

Neurocomputing

Volumn 128, Issue , 2014, Pages 224-231

  Yin, Gang ^a   Zhang, Ying Tang ^a   Li, Zhi Ning ^a   Ren, Guo Quan ^a   Fan, Hong Bo ^a  

^a MECHANICAL ENGINEERING COLLEGE   (China)

Author keywords

Extreme Learning Machine; Incremental Support Vector Data Description; Multi scale principal component analysis; Online fault diagnosis

Indexed keywords

DISCRIMINATING ABILITIES; ELASTIC STRUCTURES; EXTREME LEARNING MACHINE; MECHANICAL EQUIPMENT; MULTI-SCALE PRINCIPAL COMPONENT ANALYSIS; ON-LINE FAULT DIAGNOSIS; RECOGNITION ALGORITHM; SUPPORT VECTOR DATA DESCRIPTION;

CONDITION MONITORING; DATA DESCRIPTION; DIESEL ENGINES; FAILURE MODES; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

IMAGE SEGMENTATION;

ACCURACY; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION ALGORITHM; INCREMENTAL OUTPUT EXTREME LEARNING MACHINE; INCREMENTAL SUPPORT VECTOR DATA DESCRIPTION; INVESTIGATIVE PROCEDURES; KERNEL METHOD; MACHINE LEARNING; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; ONLINE FAULT DIAGNOSIS; ONLINE MONITORING; ONLINE SYSTEM; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SIGNAL DETECTION; VALIDATION PROCESS;

EID: 84893686051     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.01.061     Document Type: Article

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