Abstract
Many motor current signature analysis (MCSA) methods have been proposed for the rotor fault diagnosis of induction motor. However, few method provides the quantitative measurement. In this paper, a method is proposed to diagnose rotor fault severity based on the transient current. First, wavelet transform is used to analyze the stator current and detect rotor bars. Then, a curve fitting algorithm is proposed to diagnose the asymmetric rotor condition and give the precaution value and alarm value. Lastly, a fault severity factor is presented based on the two aforementioned values. The proposed method is demonstrated by simulation experiment, which shows that it can give the evaluation of rotor asymmetry and fault severity.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.