S. E. Pandarakone

Evaluating the Progression and Orientation of Scratches on Outer-Raceway Bearing Using a Pattern Recognition Method

Yukio Mizuno, Shrinathan Esakimuthu Pandarakone, Hisahide Nakamura, 2019, IEEE Transactions on Industrial Electronics.

Application of Naive Bayes Classifier Theorem in Detecting Induction Motor Bearing Failure

S. Gunasekaran, S. Esakimuthu Pandarakone, Y. Mizuno, 2018, 2018 XIII International Conference on Electrical Machines (ICEM).

Deep Neural Network Based Bearing Fault Diagnosis of Induction Motor Using Fast Fourier Transform Analysis

Yukio Mizuno, Shrinathan Esakimuthu Pandarakone, Makoto Masuko, 2018, 2018 IEEE Energy Conversion Congress and Exposition (ECCE).

Frequency spectrum investigation and analytical diagnosis method for turn-to-turn short-circuit insulation failure in stator winding of low voltage induction motor

Yukio Mizuno, Shrinathan Esakimuthu Pandarakone, Hisahide Nakamura, 2016, IEEE Transactions on Dielectrics and Electrical Insulation.

Higher-order topological corner state in a reconfigurable breathing kagome lattice consisting of magnetically coupled LC resonators

Kenichi Yatsugi, Hideo Iizuka, S. E. Pandarakone, 2023, Scientific reports.

A Study on Machine Learning and Artificial Intelligence Methods in Detecting the Minor Outer-Raceway Bearing Fault

Yukio Mizuno, Shrinathan Esakimuthu Pandarakone, Hisahide Nakamura, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Common Diagnosis Approach to Three-Class Induction Motor Faults Using Stator Current Feature and Support Vector Machine

Kenichi Yatsugi, S. E. Pandarakone, H. Nakamura, 2023, IEEE Access.