Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines

被引:6
|
作者
Irhoumah, Miftah [1 ,2 ]
Pusca, Remus [1 ]
Lefevre, Eric [2 ]
Mercier, David [2 ]
Romary, Raphael [1 ]
机构
[1] Artois Univ, Lab Syst Electrotech & Environm LSEE, UR 4025, F-62400 Bethune, France
[2] Artois Univ, UR 3926, Lab Genie Informat & Automat Artois LGI2A, F-62400 Bethune, France
关键词
synchronous machines; correlation coefficient; external magnetic field; fault diagnostic; information fusion; inter-turn short circuit; DIAGNOSIS;
D O I
10.3390/electronics10182313
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The aim of this paper is to detect a stator inter-turn short circuit in a synchronous machine through the analysis of the external magnetic field measured by external flux sensors. The paper exploits a methodology previously developed, based on the analysis of the behavior with load variation of sensitive spectral lines issued from two flux sensors positioned at 180 degrees from each other around the machine. Further developments to improve this method were made, in which more than two flux sensors were used to keep a good sensitivity for stator fault detection. The method is based on the Pearson correlation coefficient calculated from sensitive spectral lines at different load operating conditions. Fusion information with belief function is then applied to the correlation coefficients, which enable the detection of an incipient fault in any phase of the machine. The method has the advantage to be fully non-invasive and does not require knowledge of the healthy state.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] WAVELET ANALYSIS FOR STATOR FAULT DETECTION IN INDUCTION MACHINES
    Giaccone, Santiago J.
    Bossio, Guillermo R.
    Garcia, Guillermo O.
    Solsona, Jorge A.
    INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2011, 9 (03) : 361 - 374
  • [22] Stray-flux and Current Analyses under Starting for the Detection of Damper Failures in Cylindrical Rotor Synchronous Machines
    Castro-Coronado, H.
    Antonino-Daviu, J.
    Quijano-Lopez, A.
    Llovera-Segovia, P.
    Fuster-Roig, V
    2020 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), VOL 1, 2020, : 1475 - 1480
  • [23] Multi-sensor Cave Detection
    Slavova, Tanya
    Rusev, Atanas
    GIM INTERNATIONAL-THE WORLDWIDE MAGAZINE FOR GEOMATICS, 2016, 30 (03): : 24 - 27
  • [24] Stray Flux Sensor Core Impact on the Condition Monitoring of Electrical Machines
    Tian, Pengfei
    Platero, Carlos A.
    Gyftakis, Konstantinos N.
    Manuel Guerrero, Jose
    SENSORS, 2020, 20 (03)
  • [25] Eccentricity fault detection in synchronous reluctance machines
    Hooshmandi Safa, Hossein
    Abootorabi Zarchi, Hossein
    ELECTRICAL ENGINEERING, 2024, 106 (02) : 1977 - 1987
  • [26] Eccentricity fault detection in synchronous reluctance machines
    Hossein Hooshmandi Safa
    Hossein Abootorabi Zarchi
    Electrical Engineering, 2024, 106 : 1977 - 1987
  • [27] Analysis and Optimization of Radial Flux Modular Stator Permanent Magnet Synchronous Machines
    Jara, Werner
    Bramerdorfer, Gerd
    Madariaga, Carlos
    Riedemann, Javier
    Tapia, Juan
    Segon, Gordan
    Koppelstaetter, Werner
    Silber, Siegfried
    2020 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2020, : 1167 - 1173
  • [28] Winding Design of Coreless Stator Axial Flux Permanent Magnet Synchronous Machines
    Virtic, Peter
    Pisek, Peter
    Stumberger, Bojan
    Hadziselimovic, Miralem
    Marcic, Tine
    Praunseis, Zdravko
    PRZEGLAD ELEKTROTECHNICZNY, 2009, 85 (12): : 162 - 165
  • [29] A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion
    Gawde, Shreyas
    Patil, Shruti
    Kumar, Satish
    Kotecha, Ketan
    ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (05) : 4711 - 4764
  • [30] A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion
    Shreyas Gawde
    Shruti Patil
    Satish Kumar
    Ketan Kotecha
    Artificial Intelligence Review, 2023, 56 : 4711 - 4764