Detection of Broken Rotor Bars in a Cage Induction Machine Using DC Injection Braking

In this paper, an effective procedure for broken rotor bar (BRB) fault detection in a three-phase squirrel-cage induction machine (SCIM) is proposed. This approach relies on motor current signature analysis (MCSA) by observing the specific fault-related component generated applying DC injection braking method. Unlike traditional MCSA, which commonly focused of BRB sidebands around fundamental component, proposed methodology introduces new feature spectrum makes it much easier identification. The distinctive time-frequency evolution pattern provides reliable identification BRBs, even under no-load operating conditions, thus overcoming major drawback MCSA-based methods. Fault severity classification easily performed through magnitude inspection component. addition, does not require high-complexity signal processing algorithms to achieve results. concept presented theoretically, assisted magnetically coupled multiple circuit model SCIM, both with healthy and faulty bars. Finally, experimental tests validate demonstrate its effectiveness usefulness.