Fault detection and classification in permanent magnet synchronous machines using Fast Fourier Transform and Linear Discriminant Analysis

@article{Haddad2013FaultDA,
  title={Fault detection and classification in permanent magnet synchronous machines using Fast Fourier Transform and Linear Discriminant Analysis},
  author={Reemon Z. Haddad and Elias G. Strangas},
  journal={2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)},
  year={2013},
  pages={99-104}
}
The main objective of this paper is to propose a method to detect the presence of a fault in Permanent Magnet Synchronous Machines (PMSMs), determine the type of that fault and estimate the severity in the case of eccentricity fault. In this paper, three types of faults are discussed: static eccentricity, inter-turn short circuit, and demagnetization faults. The machine is controlled using a three phase current source and the harmonics of the stator voltage are used as detailed features for the… CONTINUE READING

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