Broken Rotor Bar Detection in LS-PMSM Based on Startup Current Analysis Using Wavelet Entropy Features
نویسندگان
چکیده
منابع مشابه
Broken Rotor Bar Detection in LS-PMSM Based on Startup Current Analysis Using Wavelet Entropy Features
High-efficiency motors are being gradually introduced in many industrial applications because of their positive impacts on the environment by reducing energy consumption and CO2 emission. In this respect, line start permanent magnet synchronous motors (LS-PMSMs) have been introduced recently. Due to their unique configuration, LS-PMSMs allow the obtaining of super premium efficiency levels, acc...
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This paper proposes a new approach to diagnose broken rotor bar failure in a line start-permanent magnet synchronous motor (LS-PMSM) using random forests. The transient current signal during the motor startup was acquired from a healthy motor and a faulty motor with a broken rotor bar fault. We extracted 13 statistical time domain features from the startup transient current signal, and used the...
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This paper presents the performances evaluation of different wavelet transform under broken rotor bars fault diagnosis. In this report, stator phase current was used for wavelet analysis. Discrete wavelet transform (DWT) coefficients of stator current in a specific frequency band are derived and analyzed. Wavelets db8, db9, db10, sym7 and sym8 are employed to analyze broken bar distorted stator...
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Three–phase inductions machines are the primary consumers of electric power in industrialized countries, they can typically consume between 40 to 50% of all the generated power (Thomsom et al., 2001). Diagnostic testing of induction machines is therefore of tremendous importance in many applications, and has been the focus of intense research for many years (Aller et al., 2002), (Antonino-Daviu...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2017
ISSN: 2076-3417
DOI: 10.3390/app7080845