In critical industrial applications fault diagnosis and fault tolerance are considered key
features, in order to ensure the required reliability and availability levels. In this context, this …

Electric means of transportation have seen a rapid expansion partly due to flexibility to
commuters and carbon emission reduction. However, transportation electrification is …

To simplify the tuning process and enhance the parameter robustness of the model
predictive control (MPC) for grid-connected inverters, an improved phase-locked loop (PLL) …

With the ever-increasing application of permanent magnet synchronous machine (PMSM)
drives, the requirements for safety and reliability are raised. This article presents a detailed …

This article proposes a cost function error-based approach to diagnose open-circuit faults
(OCFs) in permanent magnet synchronous machine drives with model predictive current …

The widespread diffusion of electric vehicles poses new challenges in the field of fault
diagnostics. Past studies have been focused mainly on machines designed for industrial …

This article proposes a simplified model predictive voltage control (SMPVC) method without
weighting factors for three-phase four-switch inverter-fed permanent magnet synchronous …

Convolution neural network (CNN)-based fault diagnosis methods have been widely
adopted to obtain representative features and used to classify fault modes due to their …

In this article, open-switch fault diagnosis and fault tolerance are proposed for induction
machine (IM) drives with predictive torque control (PTC) or predictive flux control (PFC) …

This article proposes a boost-type four-leg inverter for three-phase permanent magnet
synchronous machine (PMSM) drives where the power supply is innovatively connected …