Imbalanced Diagnosis Scheme for Incipient Rotor Faults in Inverter-Fed Induction Motors

被引:0
|
作者
Martin-Diaz, Ignacio [1 ]
Garcia-Calva, Tomas [2 ]
Duque-Perez, Oscar [1 ]
Morinigo-Sotelo, Daniel [1 ]
机构
[1] Univ Valladolid, Inst Adv Prod Technol, Res Grp ADIRE, Valladolid 47002, Spain
[2] Univ Valladolid, Dept Elect Engn, Valladolid 47002, Spain
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 16期
关键词
rotor faults; diagnosis features; induction motor; inverter; small data; imbalance correction; SMOTE;
D O I
10.3390/app14167237
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Recently, fault diagnosing supervised classifiers have been widely proposed to diagnose both electric and mechanical faults in induction motors (IM). However, many of them require a large amount of data, which implies a great effort required for processing fault-related features and building the training set. Furthermore, in real-world datasets, it is required to deal with highly skewed data distributions, also known as class imbalance, which is a limiting issue and can misguide the tuning of machine learning algorithms. Resampling techniques based on a synthetic generation of minority class observations aim to address this problem. Last but not least is the fact that inverter-fed IM introduces undesired harmonics in the monitoring signal altering the diagnosis patterns. This diagnosis scheme is evaluated on experimental imbalanced data oriented to deal with the diagnosis of a rotor in situations where it is fed with an inverter. The results show how this imbalanced approach determines the actual diagnosis performance on a small amount of data. The experimental results demonstrate that balanced training sets built with class balancing techniques improve the classifier and therefore its performance for diagnosing incipient rotor faults in inverter-fed IM with studied and interpretable features recently proposed in this field of study.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Detection of Broken Rotor Bars Faults in Inverter-Fed Induction Motors
    Godoy, W. F.
    da Silva, I. N.
    Goedtel, A.
    Palacios, R. H. C.
    Scalassara, P.
    Morinigo-Sotelo, D.
    Duque-Perez, O.
    2018 XIII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2018, : 1803 - 1808
  • [2] Transient Detection of Close Components through the Chirplet Transform: Rotor Faults in Inverter-Fed Induction Motors
    Pons-Llinares, J.
    Morinigo-Sotelo, D.
    Duque-Perez, O.
    Antonino-Daviu, J.
    Perez-Alonso, M.
    IECON 2014 - 40TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2014, : 3386 - 3392
  • [3] Evaluation stator winding faults severity in inverter-fed induction motors
    Godoy, Wagner Fontes
    da Silva, Ivan Nunes
    Goedtel, Alessandro
    Cunha Palacios, Rodrigo Henrique
    APPLIED SOFT COMPUTING, 2015, 32 : 420 - 431
  • [4] Multiple faults detection in low voltage inverter-fed induction motors
    Frosini, Lucia
    Minervini, Marcello
    Ciceri, Luca
    Albini, Andrea
    PROCEEDINGS OF THE 2019 IEEE 12TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2019, : 323 - 329
  • [5] Broken Rotor Bar Fault Diagnosis in Inverter-Fed Induction Motors Using the Rectification Technology
    Wang W.
    Song X.
    Chen Q.
    Zhao W.
    Zhu H.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2022, 37 (16): : 4074 - 4083
  • [6] Intelligent Systems Applied on the Estimation of Bearing Faults in Inverter-fed Induction Motors
    Godoy, W. F.
    Palacios, R. H. C.
    da Silva, I. N.
    Goedtel, A.
    da Silva, P. P. D.
    PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 1507 - 1512
  • [7] Exploring the detectability of short-circuit faults in inverter-fed induction motors
    Georgoulas, George
    Frosini, Lucia
    Karvelis, Petros
    Stylios, Chrysostomos
    Tsoumas, Ioannis
    IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 5930 - 5935
  • [8] Detecting Faults in Inverter-Fed Induction Motors During Startup Transient Conditions
    Dlamini, M.
    Barendse, P. S.
    Khan, A. M.
    2014 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2014, : 3131 - 3138
  • [9] Detection of Broken Rotor Bars in Nonlinear Startups of Inverter-Fed Induction Motors
    Fernandez-Cavero, Vanessa
    Pons-Llinares, Joan
    Duque-Perez, Oscar
    Morinigo-Sotelo, Daniel
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (03) : 2559 - 2568
  • [10] ANALYSIS OF INVERTER-FED INDUCTION-MOTORS
    MURPHY, JMD
    INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION, 1976, 13 (04) : 359 - 369