On line parametric faults detection in induction motors based on graphical signature tool

被引：0
|
作者：
Youssef, Bilal [1 ]
机构：
[1] Inst Francais Petr, F-92500 Rueil Malmaison, France
来源：
IECON 2007: 33RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, CONFERENCE PROCEEDINGS | 2007年
关键词：
diagnosis; fault detection; parametric fault; signature generation; induction motors;
D O I：
10.1109/IECON.2007.4460127
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a recently developed graphical signatures generation tool is used for system faults detection of induction motors (IM). The underlying diagnosis problem corresponds to variations affecting four of system's parameters, namely, the resistances and inductances for both stator and rotor. It is shown that this diagnosis method enables early detection of all considered faults using one graphical Signature generated from the measurements of the stator current. The proposed detection procedure can be easily applied in a real time diagnosis context.
引用
收藏
页码：1138 / 1143
页数：6
相关论文
共 50 条
  • [41] Detection of Mechanical Imbalances of Induction Motors with Instantaneous Power Signature Analysis
    Kucuker, Ahmet
    Bayrak, Mehmet
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2013, 8 (05) : 1116 - 1121
  • [42] A POWER BASED ALGORITHM DESIGN FOR DETECTION OF BROKEN ROTOR BARS FAULTS IN THREE PHASE INDUCTION MOTORS
    Bayrak, Mehmet
    Kucuker, Ahmet
    [J]. JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2016, 31 (02): : 303 - 311
  • [43] An Improved Algorithm for Detection of Rotor Faults in Squirrel Cage Induction Motors Based on a New Fault Indicator
    Sahraoui, M.
    Zouzou, S. E.
    Ghoggal, A.
    Guedidi, S.
    Derghal, H.
    [J]. 2012 XXTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2012, : 1572 - 1578
  • [44] FPGA-based entropy neural processor for online detection of multiple combined faults on induction motors
    Cabal-Yepez, E.
    Valtierra-Rodriguez, M.
    Romero-Troncoso, R. J.
    Garcia-Perez, A.
    Osornio-Rios, R. A.
    Miranda-Vidales, H.
    Alvarez-Salas, R.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 30 : 123 - 130
  • [45] Stator Short-Circuit Faults Detection based on Harmonics of the Magnetic Field in the Induction Motors Neighboring
    Fireteanu, Virgiliu
    Constantin, Alexandru-Ionel
    [J]. 2014 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM), 2014, : 302 - 306
  • [46] Detection of stator-winding turn-to-turn faults in induction motors, based on virtual instrumentation
    Zamarron, A.
    Arjona, M. A.
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION, 2010, 47 (01) : 63 - 72
  • [47] A power based algorithm design for detection of broken rotor bars faults in three phase induction motors
    Üç fazli asenkron motorlardaki kirik rotor çubuǧu arizalarinin tespiti için güç tabanli bir algoritmanin geliştirilmesi
    [J]. 1600, Gazi Universitesi (31):
  • [48] Fault Signature Analysis Based on Transient Current for Induction Motors
    Lv, Feng
    Sun, Hao
    Du, Wenxia
    Li, Shue
    [J]. FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE, PTS 1-4, 2011, 44-47 : 1807 - +
  • [49] Multiple faults detection in low voltage inverter-fed induction motors
    Frosini, Lucia
    Minervini, Marcello
    Ciceri, Luca
    Albini, Andrea
    [J]. PROCEEDINGS OF THE 2019 IEEE 12TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2019, : 323 - 329
  • [50] The detection of bearing faults for induction motors by using vibration signals and machine learning
    Irgat, Eyup
    Cinar, Eyup
    Unsal, Abdurrahman
    [J]. 2021 IEEE 13TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2021, : 447 - 453
12345