刘闯;寇磊;蔡国伟;赵梓含;张哲;

• 1:东北电力大学电气工程学院
• 2:国网新源丰满培训中心
• 3:丹麦科技大学电气工程学院

摘要(Abstract)：

电力电子变换器已被广泛应用于航空航天系统、直流输电、分布式能源和智能电网等领域,其可靠性问题成为学术界和工业界的研究热点。开展对电力电子变换器开路故障监测与智能诊断方法研究,对避免二次故障、降低运维时间与成本和提高电力电子系统可靠性具有重要意义。文章首先对电力电子变换器故障特征进行分析与总结,然后对特定基于人工智能(artificial intelligence,AI)技术的电力电子变换器开路故障诊断方法及应用实例综述,随后提出一种基于随机森林与瞬时故障特征相结合的故障诊断方法用于三相电力电子变换器故障诊断,最后提出基于AI的电力电子变换器开路故障诊断方法面临的挑战,并展望该领域未来的研究方向。

关键词(KeyWords)： 人工智能;电力电子变换器;开路故障;故障诊断;故障定位;数据驱动

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2017YFB0903300)~~

作者(Author): 刘闯;寇磊;蔡国伟;赵梓含;张哲;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.2427

参考文献(References)：

• [1] Zhong Q C.Power-electronics-enabled autonomous power systems:architecture and technical routes[J].IEEE Transactions on Industrial Electronics,2017,64(7):5907-5918.
• [2]刘闯，李伟，孙佳俊．一种应用于电动汽车快速充电站的高频隔离双级功率变换器[J]．电网技术，2017,41(5):1636-1643.Liu Chuang, Li Wei, Sun Jiajun. A high-frequency-isolation two-power-stage converter applied in electric vehicle fast charging station[J].Power System Technology,2017,41(5):1636-1643(in Chinese).
• [3]陈高华，成庶，向超群．非侵入式逆变器功率管开路故障诊断方法[J]．中国电机工程学报，2017,37(13):3854-3862.Chen Gaohua,Cheng Shu,Xiang Chaoqun.A non-intrusive diagnostic technique for open-circuited faults of inverters[J].Proceedings of the CSEE,2017,37(13):3854-3862(in Chinese).
• [4] Liu C,Kan J,Zhi Y,et al.Reliable transformerless battery energy storage systems based on cascade dual-boost/buck converters[J].IET Power Electronics,2015,8(9):1681-1689.
• [5] Zadeh M K,Gavagsaz-ghoachani R,Martin J P,et al.Discrete-time tool for stability analysis of DC power electronics based cascaded systems[J].IEEE Transactions on Power Electronics,2017,32(1):652-667.
• [6]宋国兵，陶然，李斌，等．含大规模电力电子装备的电力系统故障分析与保护综述[J]．电力系统自动化，2017,41(12):2-12.Song Guobing,Tao Ran,Li Bin,et al.Survey of fault analysis and protection for power system with large scale power electronic equipments[J].Automation of Electric Power Systems,2017,41(12):2-12(in Chinese).
• [7]姜建国，乔树通，郜登科．电力电子装置在电力系统中的应用[J]．电力系统自动化，2014,38(3):2-6.Jiang Jianguo,Qiao Shutong,Gao Dengke.Application of power electronic equipments in power system[J].Automation of Electric Power Systems,2014,38(3):2-6(in Chinese).
• [8]李辉，刘盛权，冉立，等．大功率并网风电机组变流器状态监测技术综述[J]．电工技术学报，2016,31(8):1-10.Li Hui,Liu Shengquan,Ran Li,et al.Overview of condition monitoring technologies of power converter for high power grid-connected wind turbine generator system[J].Transactions of China Electrotechnical Society,2016,31(8):1-10(in Chinese).
• [9]魏书荣，何之倬，符杨，等．海上风电机组故障容错运行研究现状分析[J]．电力系统保护与控制，2016,44(9):145-154.Wei Shurong,He Zhizhuo,Fu Yang,et al.Research status and prospect of offshore wind turbine fault tolerance[J].Power System Protection and Control,2016,44(9):145-154(in Chinese).
• [10]谢冰，刘继权，曹晓东．电厂机组UPS事故案例分析[J]．煤炭科技，2012(4):21.Xie Bing,Liu Jiquan,Cao Xiaodong.Analysis of UPS accident case of power plant unit[J].Coal Science&Technology Magazine,2012(4):21(in Chinese).
• [11]杨艳萍．HXD3机车主变流器IGBT故障分析与对策研究[J]．山东工业技术，2018(12):11.Yang Yanping.IGBT fault analysis and countermeasure research of HXD3 electric locomotive main converter[J].Shandong Industrial Technology,2018(12):11(in Chinese).
• [12] Choi U M,Blaabjerg F,Lee K B.Study and handling methods of power IGBT module failures in power electronic converter systems[J].IEEE Transactions on Power Electronics,2015,30(5):2517-2533.
• [13] Yang S Y,Bryant A,Mawby P,et al.An industry-based survey of reliability in power electronic converters[J].IEEE Transactions on Industry Applications,2011,47(3):1441-1451.
• [14] Chen M,Xu D H,Zhang X Y,et al.An improved IGBT short-circuit protection method with self-adaptive blanking circuit based on VCE measurement[J].IEEE Transactions on Power Electronics,2018,33(7):6126-6136.
• [15]邓文浪，黄斯瑶，郭有贵，等．基于开关组误差电压的双级矩阵变换器故障诊断策略[J]．电气工程学报，2015,10(5):51-60.Deng Wenlang,Huang Siyao,Guo Yougui,et al.Fault diagnosis strategy in two-stage matrix converter based on switch group error voltage[J].Journal of Electrical Engineering,2015,10(5):51-60(in Chinese).
• [16]王磊，赵雷霆，张钢，等．电压型PWM整流器的开关器件断路故障特征[J]．电工技术学报，2010,25(7):108-116.Wang Lei,Zhao Leiting,Zhang Gang,et al.Analysis of fault characteristics after the breakdown of power switches in voltage-source PWM rectifiers[J]. Transactions of China Electrotechnical Society,2010,25(7):108-116(in Chinese).
• [17]周喜超，郑伟，刘峻，等．电网电流不对称引起大规模风机跳闸原因分析[J]．中国电力，2010,43(3):63-67.Zhou Xichao,Zheng Wei,Liu Jun,et al.Analysis on large-scale wind generator trip caused by power grid current asymmetry[J].Electric Power,2010,43(3):63-67(in Chinese).
• [18]聂松松，靳超．单管直流变换器的快速故障诊断[J]．电网技术，2017,41(1):328-334.Nie Songsong,Jin Chao.Fast fault diagnosis of single-switch DC-DC converters[J].Power System Technology,2017,41(1):328-334(in Chinese).
• [19] Khomfoi S,Tolbert L M.Fault diagnosis and reconfiguration for multilevel inverter drive using AI-based techniques[J]. IEEE Transactions on Industrial Electronics,2007,54(6):2954-2968.
• [20] Huang Z J,Wang Z S,Zhang H G.Multiple open-circuit fault diagnosis based on multistate data processing and subsection fluctuation analysis for photovoltaic inverter[J].IEEE Transactions on Instrumentation and Measurement,2018,67(3):516-526.
• [21]沈艳霞，周文晶，纪志成，等．基于小波包与SVM的风电变流器故障诊断[J]．太阳能学报，2015,36(4):785-791.Shen Yanxia,Zhou Wenjing,Ji Zhicheng,et al.Fault diagnosis of converter used in wind power generation based on wavelet packet analysis and SVM[J].Acta Energiae Solaris Sinica,2015,36(4):785-791(in Chinese).
• [22] Bandyopadhyay I,Purkait P,Koley C.Performance of a classifier based on time domain features for incipient fault detection in inverter drives[J].IEEE Transactions on Industrial Informatics,2019,15(1):3-14.
• [23]鄢仁武，叶轻舟，周理．基于随机森林的电力电子电路故障诊断技术[J]．武汉大学学报(工学版)，2013,46(6):742-746.Yan Renwu,Ye Qingzhou,Zhou Li.Application of random forests algorithm to fault diagnosis of power electronic circuit[J].Engineering Journal of Wuhan University,2013,46(6):742-746(in Chinese).
• [24] Li M S,Yu D,Chen Z M,et al.A data-driven residual-based method for fault diagnosis and isolation in wind turbines[J]. IEEE Transactions on Sustainable Energy,2019,10(2):895-904.
• [25] Xu H Q,Peng Y Q,Su L M.Research on open circuit fault diagnosis of inverter circuit switching tube based on machine learning algorithm[J]. IOP Conference Series:Materials Science and Engineering,2018,452(4):1-7.
• [26]陈文博，程红，王聪．三相无桥功率因数校正器开路故障的快速诊断与定位策略[J]．电工技术学报，2019,34(18):3873-3883.Chen Wenbo,Cheng Hong,Wang Cong.A fast open circuit fault diagnosis and location strategy for three-phase bridgeless power factor corrector[J].Transactions of China Electrotechnical Society,2019,34(18):3873-3883(in Chinese).
• [27] Lu S B,Sirojan T,Phung B T,et al.DA-DCGAN:an effective methodology for DC series arc fault diagnosis in photovoltaic systems[J].IEEE Access,2019(7):45831-45840.
• [28]周志华．基于分歧的半监督学习[J]．自动化学报，2013,39(11):1871-1878.Zhou Zhihua.Disagreement-based semi-supervised learning[J].Acta Automatica Sinica,2013,39(11):1871-1878(in Chinese).
• [29] Rigamonti M,Baraldi P,Zio E,et al.Identification of the degradation state for condition-based maintenance of insulated gate bipolar transistors:a self-organizing map approach[J].Microelectronics Reliability,2016(60):48-61.
• [30] Yang Q C,Qin J C,Saeedifard M.Analysis,detection,and location of open-switch submodule failures in a modular multilevel converter[J].IEEE Transactions on Power Delivery,2016,31(1):155-164.
• [31]秦剑华，王莉．基于变权重主元分析的航天电源系统诊断方法研究[J]．仪器仪表学报，2018,39(8):15-23.Qin Jianhua,Wang Li.Research on diagnostic method of spacecraft electrical power system based on variable weight hierarchical principal component analysis[J]. Chinese Journal of Scientific Instrument,2018,39(8):15-23(in Chinese).
• [32] Cai B P,Zhao Y B,Liu H L,et al.A data-driven fault diagnosis methodology in three-phase inverters for PMSM drive systems[J].IEEE Transactions on Power Electronics,2017,32(7):5590-5600.
• [33] Kiranyaz S,Gastli A,Ben-brahim L,et al.Real-time fault detection and identification for MMC using 1D convolutional neural networks[J].IEEE Transactions on Industrial Electronics,2019,66(11):8760-8771.
• [34] Lan S,Chen M J,Chen D Y.A novel HVDC double-terminal non-synchronous fault location method based on convolutional neural network[J].IEEE Transactions on Power Delivery,2019,34(3):848-857.
• [35] Shi T C,He Y G,Wang T,et al.Open switch fault diagnosis method for PWM voltage source rectifier based on deep learning approach[J].IEEE Access,2019(7):66595-66608.
• [36] He Y G,Li C C,Wang T,et al.Incipient fault diagnosis method for IGBT drive circuit based on improved SAE[J].IEEE Access,2019(7):92410-92418.
• [37] Ma S L,Chen M X,Wu J W,et al.High-voltage circuit breaker fault diagnosis using a hybrid feature transformation approach based on random forest and stacked auto-encoder[J].IEEE Transactions on Industrial Electronics,2019,66(12):9777-9788.
• [38] Mirafzal B,Das S,Condition monitoring and fault-tolerance agents for grid-tied inverters[C]//2012 IEEE Power and Energy Society General Meeting,San Diego,CA:IEEE,2012.
• [39]杨志淳，沈煜，杨帆，等．考虑多元因素态势演变的配电变压器迁移学习故障诊断模型[J]．电工技术学报，2019,34(7):1505-1515.Yang Zhichun,Shen Yu,Yang Fan,et al.A transfer learning fault diagnosis model of distribution transformer considering multi-factor situation evolution[J].Transactions of China Electrotechnical Society,2019,34(7):1505-1515(in Chinese).
• [40]徐殿国，刘晓峰，于泳．变频器故障诊断及容错控制研究综述[J]．电工技术学报，2015,30(21):1-12.Xu Dianguo,Liu Xiaofeng,Yu Yong.A survey on fault diagnosis and tolerant control of inverters[J].Transactions of China Electrotechnical Society,2015,30(21):1-12(in Chinese).
• [41] Bose B K.Artificial intelligence techniques in smart grid and renewable energy systems-some example applications[J].Proceedings of the IEEE,2017,105(11):2262-2273.
• [42] Gou B,Xu Y,Xia Y,et al.An intelligent time-adaptive data-driven method for sensor fault diagnosis in induction motor drive system[J].IEEE Transactions on Industrial Electronics,2019,66(12):9817-9827.
• [43] Costamagna P,Giorgi D A,Moser G,et al.Data-driven techniques for fault diagnosis in power generation plants based on solid oxide fuel cells[J].Energy Conversion and Management,2019(180):281-291.
• [44] Lin F J,Lu K C,Yang B H.Recurrent fuzzy cerebellar model articulation neural network based power control of single-stage three-phase grid-connected photovoltaic system during grid faults[J].IEEE Transactions on Industrial Electronics,2017,64(2):1258-1268.
• [45] Dragicevic T,Wheeler P,Blaabjerg F.Artificial intelligence aided automated design for reliability of power electronic systems[J].IEEE Transactions on Power Electronics,2019,34(8):7161-7171.
• [46]张晓，孙传达，刘娟，等．三相四线制有源电力滤波器开路故障诊断[J]．电网技术，2016,40(2):571-578.Zhang Xiao,Sun Chuanda,Liu Juan,et al.Open-circuit fault diagnosis in three-phase four-wire active power filters[J].Power System Technology,2016,40(2):571-578(in Chinese).
• [47]谢东，葛兴来．基于残差变化率的单相级联H桥整流器IGBT开路故障诊断[J]．电工技术学报，2018,33(16):3822-3834.Xie Dong,Ge Xinglai.Residual-changing-rate based open-circuit fault diagnosis for a single-phase cascaded h-bridge rectifier[J].Transactions of China Electrotechnical Society,2018,33(16):3822-3834(in Chinese).
• [48] Ji B,Pickert V,Cao W P,et al.In situ diagnostics and prognostics of wire bonding faults in IGBT modules for electric vehicle drives[J].IEEE Transactions on Power Electronics,2013,28(12):5568-5577.
• [49] Liu C,Xu X Z,He D C,et al.Magnetic-coupling current-balancing cells based input-parallel output-parallel LLC resonant converter modules for high-frequency isolation of DC distribution systems[J].IEEE Transactions on Power Electronics,2016,31(10):6968-6979.
• [50] Mohsenzadeh S,Zarghani M,Kaboli S.A series stacked IGBT switch with robustness against short circuit fault for pulsed power applications[J].IEEE Transactions on Power Electronics,2018,33(5):3779-3790.
• [51]张海涛，陈智勇．中低压IGBT短路失效分析研究[J]．电力电子技术，2017,51(7):82-85.Zhang Haitao,Chen Zhiyong.Investigation on short circuit failure analysis of medium and low voltage IGBT[J].Power Electronics,2017,51(7):82-85(in Chinese).
• [52]胡亮灯，孙驰，陈玉林，等．大功率IGBT的短路故障检测[J]．电工技术学报，2018,33(11):2592-2603.Hu Liangdeng,Sun Chi,Chen Yulin,et al.Short-circuit fault detection for high-power IGBT[J].Transactions of China Electrotechnical Society,2018,33(11):2592-2603(in Chinese).
• [53] Li X C,Xu D W,Cheng X H,et al.An indirect IGBT over-current detection technique via gate voltage monitoring and analyzing[J].IEEE Transactions on Power Electronics,2019,34(4):3615-3622.
• [54] Iov F,Blaabjerg F,Ries K.Prediction of harmonic power losses in fuses located in DC-link circuit of an inverter[J].IEEE Transactions on Industry Applications,2003,39(1):2-9.
• [55] Abdelghani A B B,Abdelghani H B,Richardeau F,et al.Versatile three-level FC-NPC converter with high fault-tolerance capabilities:switch fault detection and isolation and safe postfault operation[J].IEEE Transactions on Industrial Electronics,2017,64(8):6453-6464.
• [56] Brunson C,Empringham L,Lillo L D,et al.Open-circuit fault detection and diagnosis in matrix converters[J].IEEE Transactions on Power Electronics,2015,30(5):2840-2847.
• [57]赏吴俊，何正友，胡海涛，等．基于IGBT输出功率的逆变器开路故障诊断方法[J]．电网技术，2013,37(4):1140-1145.Shang Wujun,He Zhengyou,Hu Haitao,et al.An IGBT output power-based diagnosis of open-circuit fault in inverter[J].Power System Technology,2013,37(4):1140-1145(in Chinese).
• [58] Wu F,Zhao J,Liu Y,et al.Primary source inductive energy analysis based real-time multiple open-circuit fault diagnosis in two-level three-phase PWM boost rectifier[J].IEEE Transactions on Power Electronics,2018,33(4):3411-3423.
• [59]张传金，赵红璐，唐轶，等．T型三电平DSTATCOM功率器件开路故障容错控制[J]．电网技术，2017,41(9):3025-3033.Zhang Chuanjin,Zhao Honglu,Tang Yi,et al.Fault tolerant control of switch open circuit for T-type three-level DSTATCOM[J].Power System Technology,2017,41(9):3025-3033(in Chinese).
• [60] Li B B,Shi S L,Wang B,et al.Fault diagnosis and tolerant control of single IGBT open-circuit failure in modular multilevel converters[J].IEEE Transactions on Power Electronics,2016,31(4):3165-3176.
• [61] Sánchez J A P,Campos-Delgado D U,Espinoza-Trejo D R,et al. Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach[J].IET Power Electronics,2019,12(12):3254-3264.
• [62]孙晓云，同向前，高鑫．VSC-HVDC系统中IGBT的开路故障特性分析[J]．高电压技术，2014,40(8):2541-2549.Sun Xiao Yun,Tong Xiangqian,Gao Xin.Analysis of IGBT open-circuit fault characteristic in VSC-HVDC[J].High Voltage Engineering,2014,40(8):2541-2549(in Chinese).
• [63]高宏伟，苏健勇，杨贵杰．基于极电压误差标准化的五相逆变器开路故障诊断方法[J]．中国电机工程学报，2016,36(3):784-793.Gao Hongwei,Su Jianyong,Yang Guijie.A diagnosis method for open-circuit faults in five-phase inverters based on standardized pole voltage error[J].Proceedings of the CSEE,2016,36(3):784-793(in Chinese).
• [64] Zhang J H,Zhao J,Zhou D H,et al.High-performance fault diagnosis in PWM voltage-source inverters for vector-controlled induction motor drives[J].IEEE Transactions on Power Electronics,2014,29(11):6087-6099.
• [65]杭俊，张建忠，程明，等．基于线电压误差的永磁直驱风电系统变流器开路故障诊断[J]．中国电机工程学报，2017,37(10):2933-2943.Hang Jun,Zhang Jianzhong,Cheng Ming,et al.Fault diagnosis of open-circuit faults in converters of direct-driven permanent magnet wind power generation systems based on line voltage errors[J].Proceedings of the CSEE,2017,37(10):2933-2943(in Chinese).
• [66]杨俊杰，刘思扬，孙旭，等．多重交错并联开路电路故障检测[J]．中国电机工程学报，2019,39(11):3336-3344.Yang Junjie,Liu Siyang,Sun Xu,et al.Multi-phase interleaved converter open circuit fault diagnosis[J].Proceedings of the CSEE,2019,39(11):3336-3344(in Chinese).
• [67]何湘宁，石巍，李武华，等．基于大数据的大容量电力电子系统可靠性研究[J]．中国电机工程学报，2017,37(1):209-221.He Xiangning,Shi Wei,Li Wuhua,et al.Reliability enhancement of power electronics systems by big data science[J].Proceedings of the CSEE,2017,37(1):209-221(in Chinese).
• [68] Moosavi S S,Djerdir A,Ait-Amirat Y,et al.Artificial neural network-based fault diagnosis in the AC-DC converter of the power supply of series hybrid electric vehicle[J].IET Electrical Systems in Transportation,2016,6(2):96-106.
• [69]于生宝，何建龙，王睿家，等．基于小波包分析和概率神经网络的电磁法三电平变换器故障诊断方法[J]．电工技术学报，2016,31(17):102-112.Yu Shengbao,He Jianlong,Wang Ruijia,et al.Fault diagnosis of electromagnetic three-level inverter based on wavelet packet analysis and probabilistic neural networks[J]. Transactions of China Electrotechnical Society,2016,31(17):102-112(in Chinese).
• [70] Li C,Liu Z X,Zhang Y,et al.Diagnosis and location of the open-circuit fault in modular multilevel converters:an improved machine learning method[J].Neurocomputing,2018,331(28):58-66.
• [71]周生奇，周雒维，孙鹏菊．基于时间序列DTW差异的IGBT模块缺陷辨识方法[J]．重庆大学学报，2013,36(9):89-95.Zhou Shengqi,Zhou Luowei,Sun Pengju.Study on diagnostic method for defects in an IGBT module based on DTW deviations of time series[J].Journal of Chongqing University,2013,36(9):89-95(in Chinese).
• [72] Zhao Y,Ball R,Mosesian J,et al.Graph-based semi-supervised learning for fault detection and classification in solar photovoltaic arrays[J].IEEE Transactions on Power Electronics,2015,30(5):2848-2858.
• [73] Chen W Q,Bazzi A M.Logic-based methods for intelligent fault diagnosis and recovery in power electronics[J].IEEE Transactions on Power Electronics,2017,32(7):5573-5589.
• [74] Casagrande E,Woon W L,Zeineldin H H.A data mining approach to fault detection for isolated inverter-based microgrids[J]. IET Generation Transmission&Distribution,2013,7(7):745-754.
• [75] Poon J,Jain P,Spanos C,et al.Fault prognosis for power electronics systems using adaptive parameter identification[J].IEEE Transactions on Industry Applications,2017,53(3):2862-2870.
• [76] Yan H,Xu Y X,Cai F Y,et al.PWM-VSI fault diagnosis for PMSM drive based on fuzzy logic approach[J].IEEE Transactions on Power Electronics,2019,34(1):759-768.
• [77] Ji Y S,Chen Y S,Fu H H,et al.An enkf-based scheme to optimize hyper-parameters and features for SVM classifier[J]. Pattern Recognition,2017,62:202-213.
• [78]何旭，姜宪国，张沛超，等．基于SVM的小样本条件下继电保护可靠性参数估计[J]．电网技术，2015,39(5):1432-1437.He Xu,Jiang Xianguo,Zhang Peichao,et al.SVM based parameter estimation of relay protection reliability with small samples[J].Power System Technology,2015,39(5):1432-1437(in Chinese).
• [79]李翠，刘振兴，柴利，等．模块化多电平换流器的子模块开路故障检测方法[J]．中国电机工程学报，2017,37(23):6995-7003.Li Cui,Liu Zhenxing,Chai Li,et al.An open circuit fault detection method for sub-modules in modular multi-level converters[J].Proceedings of the CSEE,2017,37(23):6995-7003(in Chinese).
• [80] Chen H T,Jiang B,Chen W,et al.Data-driven detection and diagnosis of incipient faults in electrical drives of high-speed trains[J].IEEE Transactions on Industrial Electronics,2019,66(6):4716-4725.
• [81]焦李成，杨淑媛，刘芳，等．神经网络七十年：回顾与展望[J]．计算机学报，2016,39(8):1697-1716.Jiao Licheng,Yang Shuyuan,Liu Fang,et al.Seventy years beyond neural networks:retrospect and prospect[J].Chinese Journal of Computers,2016,39(8):1697-1716(in Chinese).
• [82] Li W L,Monti A,Ponci F.Fault detection and classification in medium voltage DC shipboard power systems with wavelets and artificial neural networks[J].IEEE Transactions on Instrumentation and Measurement,2014,63(11):2651-2665.
• [83] Wang Z S,Huang Z J,Song C H,et al.Multiscale adaptive fault diagnosis based on signal symmetry reconstitution preprocessing for microgird inverter switch under changing load condition[J].IEEE Transactions on Smart Grid,2018,9(2):797-806.
• [84] Han P C,He X Q,Ren H J,et al.Fault diagnosis and system reconfiguration strategy of single-phase three level neutral-point-clamped cascaded inverter[J].IEEE Transactions on Industry Applications,2019,55(4):3863-3876.
• [85] Luchetta A,Manetti S,Piccirilli M C,et al.MLMVNNN for parameter fault detection in PWM DC-DC converters and its applications for buck and boost DC-DC converters[J]. IEEE Transactions on Instrumentation and Measurement,2019,68(2):439-449.
• [86] Ko Y J,Lee K B,Lee D C,et al.Fault diagnosis of three-parallel voltage-source converter for a high-power wind turbine[J].IET Power Electronics,2012,5(7):1058-1067.
• [87]周志华，陈世福．神经网络集成[J]．计算机学报，2002,25(1):1-8.Zhou Zhihua,Chen Shifu.neural network ensemble[J].Chinese Journal of Computers,2002,25(1):1-8(in Chinese).
• [88] Breiman L.Random forests[J].Machine Learning,2001,45(1):5-32.
• [89]王锐光，吴际，刘超，等．基于维修日志的飞机设备故障原因判别方法[J]．软件学报，2019,30(5):1375-1385.Wang Ruiguang,Wu Ji,Liu Chao,et al.Fault cause identification method for aircraft equipment based on maintenance log[J].Journal of Software,2019,30(5):1375-1385(in Chinese).
• [90] Shah A M,Bhalja B R.Fault discrimination scheme for power transformer using random forest technique[J].IET Generation,Transmission&Distribution,2016,10(6):1431-1439.
• [91] Hannan M A,Ali J A,Mohamed A,et al.A random forest regression based space vector PWM inverter controller for the induction motor drive[J].IEEE Transactions on Industria