High Frequency Signal Injection Method for Online Condition Monitoring of Electric Machines
| Autor: | Yilmaz Sozer, Senol Sancar, Okan Boler, J. Alexis De Abreu-Garcia |
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| Rok vydání: | 2020 |
| Předmět: |
Frequency response
Structural material Computer science 05 social sciences Health condition Condition monitoring 020207 software engineering 02 engineering and technology Automotive engineering Signal injection 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Isolation (database systems) Current (fluid) 050107 human factors Induction motor |
| Zdroj: | 2020 IEEE Energy Conversion Congress and Exposition (ECCE). |
| DOI: | 10.1109/ecce44975.2020.9236370 |
| Popis: | In this study, a new high frequency current injection method to assess the health condition of induction machines is proposed. The deterioration in the isolation material of an induction motor is determined by analyzing the high frequency response of the machine while considering the rotor-to-stator, rotor-to-frame, stator-to-frame, and bearings-to-frame structural capacitances. A machine model is built to simulate the effect of aging in the structural materials of the motor. The response of the motor is analyzed by simulating the effect of aging/deterioration as changes in the structural capacitances. Induction machines are used in the laboratory experiments. The experiments presented in this paper validate the proposed method and its feasibility. |
| Databáze: | OpenAIRE |
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