Details

Title

Faults Classification Of Power Electronic Circuits Based On A Support Vector Data Description Method

Journal title

Metrology and Measurement Systems

Yearbook

2015

Volume

vol. 22

Issue

No 2

Authors

Keywords

power electronic circuit ; fault classification ; support vector data description ; support vector machine

Divisions of PAS

Nauki Techniczne

Coverage

205-220

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2015[2015.01.01 AD - 2015.12.31 AD]

Type

Artykuły / Articles

Identifier

DOI: 10.1515/mms-2015-0017 ; ISSN 2080-9050, e-ISSN 2300-1941

Source

Metrology and Measurement Systems; 2015; vol. 22; No 2; 205-220

References

Kim (2008), Fault diagnosis of three - phase PWM inverters using wavelet and SVM, ISIE, 329. ; Tax (1999), Support vector domain description, Pattern Recogn Lett, 20, 11, doi.org/10.1016/S0167-8655(99)00087-2 ; Tadeusiewicz (2014), Multiple Soft Fault Diagnosis of BJT Circuits, Metrol Meas Syst, 21, 663, doi.org/10.2478/mms-2014-0051 ; Masrur (2010), Intelligent diagnosis of open and short circuit faults in electric drive inverters for real - time applications, IET Power Electr, 3, 279, doi.org/10.1049/iet-pel.2008.0362 ; Grzechca (2009), Fault diagnosis in analog electronic circuits - the SVM approach, Metrol Meas Syst, 16, 583. ; Kim (2008), Fault diagnosis of a ZVS DC DC converter based on DC - Link current pulse shapes, IEEE Trans Ind Electr, 55, 1491, doi.org/10.1109/TIE.2007.910627 ; Hu (2011), Fault classification method for inverter based on hybrid support vector machines and wavelet analysis, Int J Control Autom Syst, 9, 797, doi.org/10.1007/s12555-011-0423-9 ; Charfi (2006), Fault diagnostic in power system using wavelet transforms and neural networks, ISIE Quebec, 1143. ; Cortes (1995), Support vector networks, Mach Learn, 20, 273, doi.org/10.1007/BF00994018 ; Cui (2011), A novel approach of analog circuit fault diagnosis using support vector machines classifier, Measurement, 44, 281, doi.org/10.1016/j.measurement.2010.10.004 ; Pei (2012), Open - circuit fault diagnosis and fault - tolerant strategies for full - bridge DC - DC converters, IEEE Trans Power Electr, 27, 2550, doi.org/10.1109/TPEL.2011.2173589 ; Zidani (2008), A fuzzy - based approach for the diagnosis of fault modes in a voltage - fed PWM inverter induction motor drive, IEEE Trans Ind Electron, 55, 586, doi.org/10.1109/TIE.2007.911951 ; Sleszynski (2009), Open - transistor fault diagnostics in voltage - source inverters by analyzing the load currents, IEEE Trans Ind Electron, 56, 4681, doi.org/10.1109/TIE.2009.2023640 ; Khanniche (2004), Wavelet - fuzzy - based algorithm for condition monitoring of voltage source inverter, Electron Lett, 40, 267, doi.org/10.1049/el:20040153 ; Khomfoi (2007), Fault diagnosis and reconfiguration for multilevel inverter drive using AI - based techniques, IEEE Trans Ind Electron, 54, 2954, doi.org/10.1109/TIE.2007.906994 ; Ma (2009), Fault diagnosis of power electronic system based on fault gradation and neural network group, Neurocomputing, 72, 2909, doi.org/10.1016/j.neucom.2008.06.033 ; Amaral (2012), On - line fault detection of aluminum electrolytic capacitors , in step - down DC DC converters , using input current and output voltage ripple, IET Power Electr, 5, 315, doi.org/10.1049/iet-pel.2011.0163 ; Lu (2009), A literature review of IGBT fault diagnostic and protection methods for power inverters, IEEE Trans Ind Appl, 45, 1770, doi.org/10.1109/TIA.2009.2027535 ; Kohavi (1997), Wrappers for feature subset selection, Artif Intell, 97, 1, doi.org/10.1016/S0004-3702(97)00043-X ; Murphey (2006), Model - based fault diagnosis in electric drives using machine learning, IEEE ASME T Mech, 11, 290, doi.org/10.1109/TMECH.2006.875568 ; Barman (2012), Investigation of noise - induced instabilities in quantitative biological spectroscopy and its implications for noninvasive glucose monitoring, Analytical Chemistry, 84, 8149, doi.org/10.1021/ac301200n ; Ribeiro (2003), Fault detection of open - switch damage in voltage - fed PWM motor drive systems, IEEE Trans Power Electr, 18, 587, doi.org/10.1109/TPEL.2003.809351 ; Wang (2013), A fault diagnosis method for three - phase rectifiers, Int J Elec Power, 52, 266, doi.org/10.1016/j.ijepes.2013.03.029 ; Cui (2010), A novel approach of analog fault classification using a support vector machines classifier, Metrol Meas Syst, 17, 561, doi.org/10.2478/v10178-010-0046-0 ; Hsu (2002), A comparison of methods for multi - class support vector machines, IEEE Trans Neural Networ, 13, 415, doi.org/10.1109/72.991427 ; Wang (2012), Application of S transform in fault diagnosis of power electronics circuits, Sci Iran, 19, 721, doi.org/10.1016/j.scient.2011.06.013 ; Vapnik (1999), An overview of statistical learning theory, IEEE Trans Neural Networ, 10, 988, doi.org/10.1109/72.788640 ; Long (2012), Diagnostics of filtered analog circuits with tolerance based on LS - SVM using frequency features, J Electron, 28, 291. ; Tax (2004), Support vector data description, Mach Learn, 54, 45, doi.org/10.1023/B:MACH.0000008084.60811.49 ; Cui (2011), Analog circuit fault classification using improved one - against - one support vector machines, Metrol Meas Syst, 18, 569, doi.org/10.2478/v10178-011-0055-7 ; Cunningham (1998), Jul A case study on the use of model - based systems for electronic fault diagnosis, Artif Intel Eng, 12, 283, doi.org/10.1016/S0954-1810(97)10004-8 ; Chapelle (1999), Support vector machines for histogram - based image classification, IEEE Trans Neural Networ, 10, 1055, doi.org/10.1109/72.788646 ; Nejjari (2000), Monitoring and diagnosis of induction motors electrical faults using a current park s vector pattern learning approach, IEEE Trans Ind Appl, 36, 730, doi.org/10.1109/28.845047 ; An (2011), Switching function model - based fast - diagnostic method of open - switch faults in inverters without sensors, IEEE Trans Power Electr, 26, 119, doi.org/10.1109/TPEL.2010.2052472 ; Delpha (2012), SVM based diagnosis of inverter fed induction machine drive : a new challenge, IECON, 3931.
×