Rotating machine fault diagnosis using dimension reduction with linear local tangent space alignment

Measurement: Journal of the International Measurement Confederation

Volumn 46, Issue 8, 2013, Pages 2525-2539

  Li, Feng ^a   Tang, Baoping ^b   Yang, Rongsong ^a  

^a SICHUAN UNIVERSITY   (China)

^b CHONGQING UNIVERSITY   (China)

Author keywords

Dimension reduction; Fault diagnosis; Linear local tangent space alignment (LLTSA); Littlewood Paley wavelet support vector machine (LPWSVM); Mixed domain feature set

Indexed keywords

ALIGNMENT; EIGENVALUES AND EIGENFUNCTIONS; FAILURE ANALYSIS; REGRESSION ANALYSIS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES;

DIMENSION REDUCTION; EMPIRICAL MODE DECOMPOSITION; FAULT DIAGNOSIS METHOD; FEATURE SETS; HIGH DIMENSIONAL SPACES; LOCAL TANGENT SPACE ALIGNMENT; LOW-DIMENSIONAL SPACES; WAVELET SUPPORT VECTOR MACHINES;

FAULT DETECTION;

EID: 84879074372     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2013.04.061     Document Type: Article

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