An inverse approach for inter-turn fault detection in asynchronous machines using magnetic pendulous oscillation technique
| Autor: | Nicola Bianchi, Ahmed Mohamed Abouelyazied Abdallh, S. M. El-Hakim, A. Shaltout, Hanafy Mahmoud, Luc Dupré |
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| Rok vydání: | 2015 |
| Předmět: |
010302 applied physics
Engineering business.industry 020208 electrical & electronic engineering Inverse Condition monitoring 02 engineering and technology Inverse problem 01 natural sciences Industrial and Manufacturing Engineering Fault detection and isolation Control and Systems Engineering Control theory Asynchronous communication Robustness (computer science) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Torque Electrical and Electronic Engineering business Induction motor Reference frame |
| Zdroj: | Ghent University Academic Bibliography |
| DOI: | 10.1109/wemdcd.2015.7194534 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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