Robust and Explainable Fault Diagnosis With Power-Perturbation-Based Decision Boundary Analysis of Deep Learning Models
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3207758
Abstract: Robustness of neural network models is important in fault diagnosis (FD) because uncertainty in operating conditions varies the power spectral densities of vibration data; however, it is unknown to users due to the limited explainability… read more here.
Keywords: decision; decision boundary; fault diagnosis; power perturbation ... See more keywords
A power perturbation-based MTPA control with disturbance torque observer for IPMSM drive system
Sign Up to like & getrecommendations! Published in 2018 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331217746823
Abstract: A novel maximum torque per ampere (MTPA) method based on power perturbation for a field-oriented control (FOC) interior permanent magnet synchronous motor (IPMSM) drive system is proposed in this study. The proposed MTPA method is… read more here.
Keywords: control; disturbance torque; system; power perturbation ... See more keywords