Vibration-current data fusion and gradient boosting classifier for enhanced stator fault diagnosis in three-phase permanent magnet synchronous motors

Al-Haddad, Luttfi A.; Jaber, Alaa Abdulhady; Hamzah, Mohsin N.; Fayad, Mohammed A.

doi:10.1007/s00202-023-02148-z

Electr Eng

2023

DOI: 10.1007/s00202-023-02148-z

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Vibration-current data fusion and gradient boosting classifier for enhanced stator fault diagnosis in three-phase permanent magnet synchronous motors

Luttfi A. Al-Haddad,

Alaa Abdulhady Jaber,

Mohsin N. Hamzah

et al.

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Cited by 4 publications

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Vibration-current data fusion and gradient boosting classifier for enhanced stator fault diagnosis in three-phase permanent magnet synchronous motors

Cited by 4 publications

References 55 publications

Enhanced Fault Detection of Wind Turbine Using eXtreme Gradient Boosting Technique Based on Nonstationary Vibration Analysis

Enhanced Fault Detection of Wind Turbine Using eXtreme Gradient Boosting Technique Based on Nonstationary Vibration Analysis

Efficient multidisciplinary modeling of aircraft undercarriage landing gear using data-driven Naïve Bayes and finite element analysis

Enhancing building sustainability through aerodynamic shading devices: an integrated design methodology using finite element analysis and optimized neural networks

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