Automated valve condition classification of a reciprocating compressor with seeded faults: Experimentation and validation of classification strategy

Smart Materials and Structures

Volumn 18, Issue 9, 2009, Pages

  Lin, Yih Hwang ^a   Liu, Huai Sheng ^a,c   Wu, Chung Yung ^b  

^a NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

^b CHINA STEEL CORPORATION   (Taiwan)

^c Top Victory Electronics   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ERRORS; CLASSIFICATION PROCESS; DATA-REDUCTION ALGORITHMS; FAULT FEATURE; HUMAN EXPERT; MACHINE HEALTH; MISCLASSIFICATIONS; NONSTATIONARY; PREVENTATIVE MAINTENANCE; PROBABILISTIC NEURAL NETWORKS; RECIPROCATING COMPRESSOR; SHORT TIME FOURIER TRANSFORMS; TIME FREQUENCY; TIME FREQUENCY ANALYSIS; TRAINING SAMPLE; VALVE SEATS; VARIATION METHOD; VIBRATION SPECTRA;

COMPRESSORS; DATA REDUCTION; FEATURE EXTRACTION; NEURAL NETWORKS; VIBRATION ANALYSIS;

DATA MINING;

EID: 70350674128     PISSN: 09641726     EISSN: 1361665X     Source Type: Journal    
DOI: 10.1088/0964-1726/18/9/095020     Document Type: Article

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