An Inverse Approach for Interturn Fault Detection in Asynchronous Machines Using Magnetic Pendulous Oscillation Technique

被引:31
作者
Mahmoud, Hanafy [1 ,2 ]
Abdallh, Ahmed Abou-Elyazied [2 ,3 ]
Bianchi, Nicola [1 ]
El-Hakim, S. M. [2 ]
Shaltout, Adel [2 ]
Dupre, Luc [3 ]
机构
[1] Univ Padua, Dept Ind Engn, I-35131 Padua, Italy
[2] Cairo Univ, Dept Elect Power & Machines, Giza 12613, Egypt
[3] Univ Ghent, Dept Elect Energy Syst & Automat, B-9052 Ghent, Belgium
关键词
Asynchronous machines; condition monitoring; interturn fault; inverse problem; magnetic pendulous oscillation (MPO) technique; INDUCTION-MOTOR DRIVES; BROKEN-BAR; STATOR FAULT; DIAGNOSIS; DESIGN;
D O I
10.1109/TIA.2015.2478882
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a coupled experimental-mathematical inverse problem based methodology for the detection of interturn faults in an asynchronous induction machine is presented. The fault detection is accomplished by interpreting well-defined measurements into the machine mathematical model. First, the studied machine is modeled by means of a dynamic state-space model in the abc reference frame. This model simulates the machine behavior under healthy and faulty cases in both transient and steady-state conditions. The signature of the interturn fault is captured using the magnetic pendulous oscillation technique. The proposed inverse problem is validated numerically and experimentally. The results show the robustness of the proposed scheme against the measurement noise.
引用
收藏
页码:226 / 233
页数:8
相关论文
共 23 条
[1]   A Non-Destructive Methodology for Estimating the Magnetic Material Properties of an Asynchronous Motor [J].
Abdallh, A. Abou-Elyazied ;
Sergeant, P. ;
Dupre, L. .
IEEE TRANSACTIONS ON MAGNETICS, 2012, 48 (04) :1621-1624
[2]   Selection of Measurement Modality for Magnetic Material Characterization of an Electromagnetic Device Using Stochastic Uncertainty Analysis [J].
Abdallh, Ahmed Abou-Elyazied ;
Crevecoeur, Guillaume ;
Dupre, Luc .
IEEE TRANSACTIONS ON MAGNETICS, 2011, 47 (11) :4564-4573
[3]   The Incremental Design Efficiency Improvement of Commercially Manufactured Induction Motors [J].
Agamloh, Emmanuel B. ;
Boglietti, Aldo ;
Cavagnino, Andrea .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2013, 49 (06) :2496-2504
[4]  
Ballal M., 2006, P IEEE ICIT DEC, P460
[5]   Mechanical load fault detection in induction motors by stator current time-frequency analysis [J].
Blodt, Martin ;
Chabert, Marie ;
Regnier, Jeremi ;
Faucher, Jean .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2006, 42 (06) :1454-1463
[6]   Diagnosis of stator inter-turn short circuits in DTC induction motor drives [J].
Cruz, SMA ;
Cardoso, AJM .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2004, 40 (05) :1349-1360
[7]   Induction machine broken bar and stator short-circuit fault diagnostics based on three-phase stator current envelopes [J].
da Silva, Aderiano M. ;
Povinelli, Richard J. ;
Demerdash, Nabeel A. O. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2008, 55 (03) :1310-1318
[8]   Identification of Demagnetization Faults in Axial Flux Permanent Magnet Synchronous Machines Using an Inverse Problem Coupled With an Analytical Model [J].
De Bisschop, Jan ;
Abdallh, Ahmed ;
Sergeant, Peter ;
Dupre, Luc .
IEEE TRANSACTIONS ON MAGNETICS, 2014, 50 (11)
[9]   Fault detection of broken rotor bars in induction motor using a global fault index [J].
Didier, G ;
Ternisien, E ;
Caspary, O ;
Razik, H .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2006, 42 (01) :79-88
[10]   An Experimental Design for Static Eccentricity Detection in Synchronous Machines Using a Cramer-Rao Lower Bound Technique [J].
Doorsamy, Wesley ;
Abdallh, Ahmed Abou-Elyazied ;
Cronje, Willem A. ;
Dupre, Luc .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2015, 30 (01) :254-261