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

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...

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Bibliographic Details
Published in:IEEE transactions on industry applications 2016-01, Vol.52 (1), p.226-233
Main Authors: Mahmoud, Hanafy, Abou-Elyazied Abdallh, Ahmed, Bianchi, Nicola, El-Hakim, S. M., Shaltout, Adel, Dupre, Luc
Format: Article
Language:English
Subjects:
Asynchronous machines
condition monitoring
Dynamic tests
Fault detection
Faults
Induction motors
inter-turn fault
Inverse
inverse problem
Inverse problems
magnetic pendulous oscillation technique
Mathematical model
Mathematical models
Oscillations
Robustness
Rotors
Stator windings
Torque
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Summary: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.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2015.2478882