A novel signal processing approach for valve health condition classification of a reciprocating compressor with seeded faults considering time-frequency partitions

Journal of Marine Science and Technology (Taiwan)

Volumn 21, Issue 5, 2013, Pages 578-585

  Lin, Yih Hwang ^a   Lee, Wen Sheng ^a,c   Wu, Chung Yung ^b  

^a NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

^b CHINA STEEL CORPORATION   (Taiwan)

^c Liteon Technology Corporation   (Taiwan)

Author keywords

Automated condition classification; Reciprocating compressor; Time frequency analysis

Indexed keywords

AUTOMATED CONDITIONS; AUTOMATIC CLASSIFICATION; CLASSIFICATION SYSTEM; MODIFICATION METHODS; PROBABILISTIC NEURAL NETWORKS; PROCESSING APPROACH; TIME FREQUENCY ANALYSIS; TIME-FREQUENCY PLANES;

COMPRESSORS; NEURAL NETWORKS; SIGNAL PROCESSING;

RECIPROCATING COMPRESSORS;

EID: 84893058250     PISSN: 10232796     EISSN: None     Source Type: Journal    
DOI: 10.6119/JMST-012-1207-2     Document Type: Article

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