Fault diagnosis method based on FFT-RPCA-SVM for Cascaded-Multilevel Inverter

ISA Transactions

Volumn 60, Issue , 2016, Pages 156-163

  Wang, Tianzhen ^a   Qi, Jie ^a   Xu, Hao ^a   Wang, Yide ^b   Liu, Lei ^a   Gao, Diju ^a  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b UNIVERSITÉ DE NANTES   (France)

Author keywords

Cascaded Multilevel Inverter; Fast Fourier Transform; Fault diagnosis; Relative principal component analysis; Support Vector Machine; Wind turbine

Indexed keywords

BRIDGE CIRCUITS; ELECTRIC INVERTERS; FAILURE ANALYSIS; FAST FOURIER TRANSFORMS; IMAGE RETRIEVAL; LAND VEHICLE PROPULSION; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES; VECTOR SPACES; WIND POWER; WIND TURBINES;

CASCADED H-BRIDGE MULTILEVEL INVERTERS; CASCADED MULTI-LEVEL INVERTERS; DIAGNOSTIC ACCURACY; EXPERIMENTAL PROTOTYPE; FAULT CHARACTERISTICS; FAULT DIAGNOSIS METHOD; MULTILEVEL INVERTER; PRINCIPLE COMPONENT ANALYSIS;

FAULT DETECTION;

EID: 84959459599     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2015.11.018     Document Type: Article

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