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Volumn 42, Issue 8, 2006, Pages 154-158

Noise reduction method for nonlinear time series based on principal manifold learning and its application to fault diagnosis

Author keywords

Fault diagnosis; Noise reduction; Nonlinear time series; Principal manifold learning

Indexed keywords

FAULT DIAGNOSIS; NOISE REDUCTION; NONLINEAR TIME SERIES; PRINCIPAL MANIFOLD LEARNING; SINGLE GLOBAL ORTHOGONAL COORDINATE SYSTEM; SINGULAR VALUE DECOMPOSITION (SVD) METHOD;

EID: 33749869630     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/JME.2006.08.154     Document Type: Article
Times cited : (44)

References (12)
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    • Iterative SVD method for noise reduction of low dimensional chaotic time series
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.